Exam 9: Inference for Regression

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Use the following to answer the questions below: Fast food restaurants are required to publish nutrition information about the foods they serve. Nutrition information about a random sample of 15 McDonald's lunch/dinner menu items (excluding sides and drinks) was obtained from their website. We wish to use the total fat content (in grams) to better understand the number of calories in the lunch/dinner menu items at McDonald's. Computer output from a regression analysis and a scatterplot (with regression line) of the data are provided. Use two decimal places when reporting the results from any calculations, unless otherwise specified. The regression equation is Calories = 137.1 + 15.06 Total Fat (g) Use the following to answer the questions below: Fast food restaurants are required to publish nutrition information about the foods they serve. Nutrition information about a random sample of 15 McDonald's lunch/dinner menu items (excluding sides and drinks) was obtained from their website. We wish to use the total fat content (in grams) to better understand the number of calories in the lunch/dinner menu items at McDonald's. Computer output from a regression analysis and a scatterplot (with regression line) of the data are provided. Use two decimal places when reporting the results from any calculations, unless otherwise specified. The regression equation is Calories = 137.1 + 15.06 Total Fat (g)    -What is the estimated slope in this regression model? -What is the estimated slope in this regression model?

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Use the following to answer the questions below: Computer output from a regression analysis is provided. The regression equation is Y = 72.9 - 0.519 X Use the following to answer the questions below: Computer output from a regression analysis is provided. The regression equation is Y = 72.9 - 0.519 X    -What is the standard error of the sample slope? -What is the standard error of the sample slope?

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Use the following to answer the questions below: Computer output from a regression analysis is provided. The regression equation is Y = 72.9 - 0.519 X Use the following to answer the questions below: Computer output from a regression analysis is provided. The regression equation is Y = 72.9 - 0.519 X    -What is the sample intercept for this model? -What is the sample intercept for this model?

(Multiple Choice)
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Use the following to answer the questions below: In a regression analysis with n = 25, SSE = 1,800 and SSTotal = 2,000. -Compute the standard deviation of the error term. Use two decimal places in your answer.

(Multiple Choice)
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Construct and interpret a 95% interval for the mean selling price of all 92-year-old homes.

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Use the following to answer the questions below: Fast food restaurants are required to publish nutrition information about the foods they serve. Nutrition information about a random sample of 15 McDonald's lunch/dinner menu items (excluding sides and drinks) was obtained from their website. We wish to use the total fat content (in grams) to better understand the number of calories in the lunch/dinner menu items at McDonald's. Computer output from a regression analysis and a scatterplot (with regression line) of the data are provided. Use two decimal places when reporting the results from any calculations, unless otherwise specified. The regression equation is Calories = 137.1 + 15.06 Total Fat (g) Use the following to answer the questions below: Fast food restaurants are required to publish nutrition information about the foods they serve. Nutrition information about a random sample of 15 McDonald's lunch/dinner menu items (excluding sides and drinks) was obtained from their website. We wish to use the total fat content (in grams) to better understand the number of calories in the lunch/dinner menu items at McDonald's. Computer output from a regression analysis and a scatterplot (with regression line) of the data are provided. Use two decimal places when reporting the results from any calculations, unless otherwise specified. The regression equation is Calories = 137.1 + 15.06 Total Fat (g)    -Use the computer output to provide and interpret a 95% interval for the price of a lunch/dinner menu item with 25 total grams of fat. -Use the computer output to provide and interpret a 95% interval for the price of a lunch/dinner menu item with 25 total grams of fat.

(Multiple Choice)
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Use the following to answer the questions below: Data were collected on GPA and number of Facebook friends for students in a small statistics class. Some summary statistics, partial output from the regression analysis, and a scatterplot of the data (with regression line) are provided. Assume that students in this class are typical of all students at the university. Use three decimal places when reporting the results from any calculations, unless otherwise specified. Use the following to answer the questions below: Data were collected on GPA and number of Facebook friends for students in a small statistics class. Some summary statistics, partial output from the regression analysis, and a scatterplot of the data (with regression line) are provided. Assume that students in this class are typical of all students at the university. Use three decimal places when reporting the results from any calculations, unless otherwise specified.    -Use the information in the computer output to compute the standard deviation of the error term. -Use the information in the computer output to compute the standard deviation of the error term.

(Multiple Choice)
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Use the following to answer the questions below: A quantitatively savvy, young couple is interested in purchasing a home in northern New York. They collected data on 48 houses that had recently sold in the area. They want to predict the selling price of homes (in thousands of dollars) based on the size of the home (in square feet). The regression equation is Price (in thousands) = 17.1 + 0.0643 Size (sq. ft.) Use the following to answer the questions below: A quantitatively savvy, young couple is interested in purchasing a home in northern New York. They collected data on 48 houses that had recently sold in the area. They want to predict the selling price of homes (in thousands of dollars) based on the size of the home (in square feet).  The regression equation is Price (in thousands) = 17.1 + 0.0643 Size (sq. ft.)    -What is the   for this model? Interpret it in context. -What is the Use the following to answer the questions below: A quantitatively savvy, young couple is interested in purchasing a home in northern New York. They collected data on 48 houses that had recently sold in the area. They want to predict the selling price of homes (in thousands of dollars) based on the size of the home (in square feet).  The regression equation is Price (in thousands) = 17.1 + 0.0643 Size (sq. ft.)    -What is the   for this model? Interpret it in context. for this model? Interpret it in context.

(Multiple Choice)
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Use the following to answer the questions below: In a regression analysis based on a sample of size n = 30, SSModel = 750 and SSTotal = 2,500. -Use this information to fill in all values in an analysis of variance table as shown. Use the following to answer the questions below: In a regression analysis based on a sample of size n = 30, SSModel = 750 and SSTotal = 2,500. -Use this information to fill in all values in an analysis of variance table as shown.

(Essay)
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Use the following to answer the questions below: Fast food restaurants are been required to publish nutrition information about the foods they serve. Nutrition information about a random sample of McDonald's lunch/dinner menu items (excluding sides and drinks) was obtained from their website. We wish to use the sodium content (in milligrams) to better understand the number of calories in the lunch/dinner menu items at McDonald's. Some summary statistics, partial computer output from a regression analysis, and a scatterplot (with regression line) of the data are provided. Use two decimal places when reporting the results from any calculations, unless otherwise Use the following to answer the questions below: Fast food restaurants are been required to publish nutrition information about the foods they serve. Nutrition information about a random sample of McDonald's lunch/dinner menu items (excluding sides and drinks) was obtained from their website. We wish to use the sodium content (in milligrams) to better understand the number of calories in the lunch/dinner menu items at McDonald's. Some summary statistics, partial computer output from a regression analysis, and a scatterplot (with regression line) of the data are provided. Use two decimal places when reporting the results from any calculations, unless otherwise     -Use the information in the computer output to compute the standard error of the slope, SE. Report your answer with four decimal places. -Use the information in the computer output to compute the standard error of the slope, SE. Report your answer with four decimal places.

(Multiple Choice)
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Use the following to answer the questions below: Students in a small statistics course wanted to investigate if forearm length (in cm) was useful for predicting foot length (in cm). The data they collected are displayed in the provided scatterplot (with regression), and the computer output from the analysis is provided. Use three decimal places when reporting the results from any calculations, unless otherwise specified. ‪ Use the following to answer the questions below: Students in a small statistics course wanted to investigate if forearm length (in cm) was useful for predicting foot length (in cm). The data they collected are displayed in the provided scatterplot (with regression), and the computer output from the analysis is provided. Use three decimal places when reporting the results from any calculations, unless otherwise specified. ‪    The regression equation is Foot (cm) = 9.22 + 0.574 Forearm (cm) -Based on the output, provide and interpret a 95% prediction interval for the foot length of a specific individual with a forearm that is 28 cm long. The regression equation is Foot (cm) = 9.22 + 0.574 Forearm (cm) -Based on the output, provide and interpret a 95% prediction interval for the foot length of a specific individual with a forearm that is 28 cm long.

(Essay)
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Use the following to answer the questions below: In a regression analysis with n = 25, SSE = 1,800 and SSTotal = 2,000. -Compute Use the following to answer the questions below: In a regression analysis with n = 25, SSE = 1,800 and SSTotal = 2,000. -Compute   . .

(Multiple Choice)
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Use the following to answer the questions below: Students in a small statistics course wanted to investigate if forearm length (in cm) was useful for predicting foot length (in cm). The data they collected are displayed in the provided scatterplot (with regression), and the computer output from the analysis is provided. Use three decimal places when reporting the results from any calculations, unless otherwise specified. ‪ Use the following to answer the questions below: Students in a small statistics course wanted to investigate if forearm length (in cm) was useful for predicting foot length (in cm). The data they collected are displayed in the provided scatterplot (with regression), and the computer output from the analysis is provided. Use three decimal places when reporting the results from any calculations, unless otherwise specified. ‪    The regression equation is Foot (cm) = 9.22 + 0.574 Forearm (cm) -Use the fitted model to predict the foot length for someone whose arm is 30 cm long. Report your answer with two decimal places. The regression equation is Foot (cm) = 9.22 + 0.574 Forearm (cm) -Use the fitted model to predict the foot length for someone whose arm is 30 cm long. Report your answer with two decimal places.

(Multiple Choice)
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Use the following to answer the questions below: Data were collected on GPA and number of Facebook friends for students in a small statistics class. Some summary statistics, partial output from the regression analysis, and a scatterplot of the data (with regression line) are provided. Assume that students in this class are typical of all students at the university. Use three decimal places when reporting the results from any calculations, unless otherwise specified. Use the following to answer the questions below: Data were collected on GPA and number of Facebook friends for students in a small statistics class. Some summary statistics, partial output from the regression analysis, and a scatterplot of the data (with regression line) are provided. Assume that students in this class are typical of all students at the university. Use three decimal places when reporting the results from any calculations, unless otherwise specified.    -Use the provided output to construct a 90% prediction interval for the GPA of a student with 800 Facebook friends. -Use the provided output to construct a 90% prediction interval for the GPA of a student with 800 Facebook friends.

(Multiple Choice)
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Use the following to answer the questions below: Data were collected on the mileage (in thousands of miles) and price (in thousands of dollars) of a random sample of used Hyundai Elantras. A scatterplot of the data (with regression line), some summary statistics, and partial computer output from a regression analysis are provided. Use three decimal places when reporting the results from any calculations, unless otherwise specified. Use the following to answer the questions below: Data were collected on the mileage (in thousands of miles) and price (in thousands of dollars) of a random sample of used Hyundai Elantras. A scatterplot of the data (with regression line), some summary statistics, and partial computer output from a regression analysis are provided. Use three decimal places when reporting the results from any calculations, unless otherwise specified.    -Use the provided output to construct and interpret a 95% interval for the price of a single used Hyundai Elantra with 50,000 miles. -Use the provided output to construct and interpret a 95% interval for the price of a single used Hyundai Elantra with 50,000 miles.

(Essay)
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Use the following to answer the questions below: Data were collected on the age (in years) and price (in thousands of dollars) of a random sample of 25 used Hyundai Elantras. A scatterplot of the data (with regression line) and computer output from a regression analysis are provided. Use three decimal places when reporting the results from any calculations, unless otherwise specified. The regression equation is Price = 15.3 - 1.71 Age Use the following to answer the questions below: Data were collected on the age (in years) and price (in thousands of dollars) of a random sample of 25 used Hyundai Elantras. A scatterplot of the data (with regression line) and computer output from a regression analysis are provided. Use three decimal places when reporting the results from any calculations, unless otherwise specified. The regression equation is Price = 15.3 - 1.71 Age    -Construct and interpret a 90% confidence interval for the population slope. -Construct and interpret a 90% confidence interval for the population slope.

(Essay)
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Use the following to answer the questions below: In a regression analysis based on a sample of size n = 30, SSModel = 750 and SSTotal = 2,500. -Compute the standard deviation of the error term. Use two decimal places in your answer.

(Multiple Choice)
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Use the following to answer the questions below: Fast food restaurants are been required to publish nutrition information about the foods they serve. Nutrition information about a random sample of McDonald's lunch/dinner menu items (excluding sides and drinks) was obtained from their website. We wish to use the sodium content (in milligrams) to better understand the number of calories in the lunch/dinner menu items at McDonald's. Some summary statistics, partial computer output from a regression analysis, and a scatterplot (with regression line) of the data are provided. Use two decimal places when reporting the results from any calculations, unless otherwise Use the following to answer the questions below: Fast food restaurants are been required to publish nutrition information about the foods they serve. Nutrition information about a random sample of McDonald's lunch/dinner menu items (excluding sides and drinks) was obtained from their website. We wish to use the sodium content (in milligrams) to better understand the number of calories in the lunch/dinner menu items at McDonald's. Some summary statistics, partial computer output from a regression analysis, and a scatterplot (with regression line) of the data are provided. Use two decimal places when reporting the results from any calculations, unless otherwise     -Use the provided computer output to compute the standard deviation of the error term. Use two decimal places in your answer. -Use the provided computer output to compute the standard deviation of the error term. Use two decimal places in your answer.

(Multiple Choice)
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Use the following to answer the questions below: In a regression analysis based on a sample of size n = 30, SSModel = 750 and SSTotal = 2,500. -Compute Use the following to answer the questions below: In a regression analysis based on a sample of size n = 30, SSModel = 750 and SSTotal = 2,500. -Compute   . .

(Multiple Choice)
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Use the following to answer the questions below: Students in a small statistics course wanted to investigate if forearm length (in cm) was useful for predicting foot length (in cm). The data they collected are displayed in the provided scatterplot (with regression), and the computer output from the analysis is provided. Use three decimal places when reporting the results from any calculations, unless otherwise specified. ‪ Use the following to answer the questions below: Students in a small statistics course wanted to investigate if forearm length (in cm) was useful for predicting foot length (in cm). The data they collected are displayed in the provided scatterplot (with regression), and the computer output from the analysis is provided. Use three decimal places when reporting the results from any calculations, unless otherwise specified. ‪    The regression equation is Foot (cm) = 9.22 + 0.574 Forearm (cm) -Construct a 90% confidence interval for the population slope. The regression equation is Foot (cm) = 9.22 + 0.574 Forearm (cm) -Construct a 90% confidence interval for the population slope.

(Multiple Choice)
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