Exam 16: Simple Linear Regression and Correlation

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The symbol for the population coefficient of correlation is:

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Game Winnings & Education: An ardent fan of television game shows has observed that, in general, the more educated the contestant, the less money he or she wins. To test her belief she gathers data about the last eight winners of her favorite game show. She records their winnings in dollars and the number of years of education. The results are as follows. Game Winnings & Education: An ardent fan of television game shows has observed that, in general, the more educated the contestant, the less money he or she wins. To test her belief she gathers data about the last eight winners of her favorite game show. She records their winnings in dollars and the number of years of education. The results are as follows.    -Predict with 95% confidence the winnings of a contestant who has 10 years of education. -Predict with 95% confidence the winnings of a contestant who has 10 years of education.

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397.500 ±\pm 179.971. Thus, LCL = $217.529, and UCL = $577.471.

Trivia Games & Education: An ardent fan of television game shows has observed that, in general, the more educated the contestant, the less money he or she wins. To test her belief she gathers data about the last eight winners of her favorite game show. She records their winnings in dollars and the number of years of education. The results are as follows. Trivia Games & Education: An ardent fan of television game shows has observed that, in general, the more educated the contestant, the less money he or she wins. To test her belief she gathers data about the last eight winners of her favorite game show. She records their winnings in dollars and the number of years of education. The results are as follows.    -Interpret the value of the slope of the regression line. -Interpret the value of the slope of the regression line.

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For each additional year of education a contestant has, his or her winnings on TV game shows decreases by an average of approximately $89.20.

Do the ρ\rho and β\beta 1 tests in the previous two questions provide the same results? Explain.

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Wayne Newton Concert: At a recent Wayne Newton concert, a survey was conducted that asked a random sample of 20 people their age and how many concerts they have attended since the first of the year. The following data were collected: Wayne Newton Concert: At a recent Wayne Newton concert, a survey was conducted that asked a random sample of 20 people their age and how many concerts they have attended since the first of the year. The following data were collected:    An Excel output follows:   -Which interval in the previous two questions is narrower: the confidence interval estimate of the expected value of y or the prediction interval for the same given value of x (10 years) and same confidence level? Why? An Excel output follows: Wayne Newton Concert: At a recent Wayne Newton concert, a survey was conducted that asked a random sample of 20 people their age and how many concerts they have attended since the first of the year. The following data were collected:    An Excel output follows:   -Which interval in the previous two questions is narrower: the confidence interval estimate of the expected value of y or the prediction interval for the same given value of x (10 years) and same confidence level? Why? -Which interval in the previous two questions is narrower: the confidence interval estimate of the expected value of y or the prediction interval for the same given value of x (10 years) and same confidence level? Why?

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The symbol for the sample coefficient of correlation is:

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Truck Speed vs Gas Mileage: An economist wanted to analyze the relationship between the speed of a car (x) and its gas mileage (y). As an experiment a car is operated at several different speeds and for each speed the gas mileage is measured. These data are shown below. Truck Speed vs Gas Mileage: An economist wanted to analyze the relationship between the speed of a car (x) and its gas mileage (y). As an experiment a car is operated at several different speeds and for each speed the gas mileage is measured. These data are shown below.    -The following 10 observations of variables x and y were collected.    Find the least squares regression line, and the estimated value of y when x = 3. -The following 10 observations of variables x and y were collected. Truck Speed vs Gas Mileage: An economist wanted to analyze the relationship between the speed of a car (x) and its gas mileage (y). As an experiment a car is operated at several different speeds and for each speed the gas mileage is measured. These data are shown below.    -The following 10 observations of variables x and y were collected.    Find the least squares regression line, and the estimated value of y when x = 3. Find the least squares regression line, and the estimated value of y when x = 3.

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For a regression analysis to be valid, the value of the error variable associated with any particular value of y is ____________________ of the value of the error variable associated with any other value of y.

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Sales and Experience: The general manager of a chain of department stores believes that experience is the most important factor in determining the level of success of a salesperson. To examine this belief she records last month's sales (in $1,000s) and the years of experience of 10 randomly selected salespeople. These data are listed below. Sales and Experience: The general manager of a chain of department stores believes that experience is the most important factor in determining the level of success of a salesperson. To examine this belief she records last month's sales (in $1,000s) and the years of experience of 10 randomly selected salespeople. These data are listed below.    -Determine the coefficient of determination and discuss what its value tells you about the two variables. -Determine the coefficient of determination and discuss what its value tells you about the two variables.

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The coefficient of correlation is used to determine:

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The value of the sum of squares for regression SSR can never be smaller than 1.

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Allman Brothers Concert: At a recent Allman Brothers concert, a survey was conducted that asked a random sample of 20 people their age and how many concerts they have attended since the first of the year. The following data were collected: Allman Brothers Concert: At a recent Allman Brothers concert, a survey was conducted that asked a random sample of 20 people their age and how many concerts they have attended since the first of the year. The following data were collected:    An Excel output follows:   -Determine the least squares regression line. An Excel output follows: Allman Brothers Concert: At a recent Allman Brothers concert, a survey was conducted that asked a random sample of 20 people their age and how many concerts they have attended since the first of the year. The following data were collected:    An Excel output follows:   -Determine the least squares regression line. -Determine the least squares regression line.

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Sales and Experience: The general manager of a chain of department stores believes that experience is the most important factor in determining the level of success of a salesperson. To examine this belief she records last month's sales (in $1,000s) and the years of experience of 10 randomly selected salespeople. These data are listed below. Sales and Experience: The general manager of a chain of department stores believes that experience is the most important factor in determining the level of success of a salesperson. To examine this belief she records last month's sales (in $1,000s) and the years of experience of 10 randomly selected salespeople. These data are listed below.    -Calculate the Pearson correlation coefficient. Interpret this result. -Calculate the Pearson correlation coefficient. Interpret this result.

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If an estimated regression line has a y-intercept of 10 and a slope of 4, then when x = 2 the actual value of y is:

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Car Speed and Gas Mileage: An economist wanted to analyze the relationship between the speed of a car (x) and its gas mileage (y). As an experiment a car is operated at several different speeds and for each speed the gas mileage is measured. These data are shown below. Car Speed and Gas Mileage: An economist wanted to analyze the relationship between the speed of a car (x) and its gas mileage (y). As an experiment a car is operated at several different speeds and for each speed the gas mileage is measured. These data are shown below.    -Predict with 99% confidence the gas mileage of a car traveling 55 mph. -Predict with 99% confidence the gas mileage of a car traveling 55 mph.

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If the coefficient of determination is 0.95, this means that 95% of the y values were predicted correctly by the regression line.

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Allman Brothers Concert: At a recent Allman Brothers concert, a survey was conducted that asked a random sample of 20 people their age and how many concerts they have attended since the first of the year. The following data were collected: Allman Brothers Concert: At a recent Allman Brothers concert, a survey was conducted that asked a random sample of 20 people their age and how many concerts they have attended since the first of the year. The following data were collected:    An Excel output follows:   -Draw a scatter diagram of the data. Comment on whether it appears that a linear model might be appropriate to describe the relationship between the age and number of concerts attended by the respondents. An Excel output follows: Allman Brothers Concert: At a recent Allman Brothers concert, a survey was conducted that asked a random sample of 20 people their age and how many concerts they have attended since the first of the year. The following data were collected:    An Excel output follows:   -Draw a scatter diagram of the data. Comment on whether it appears that a linear model might be appropriate to describe the relationship between the age and number of concerts attended by the respondents. -Draw a scatter diagram of the data. Comment on whether it appears that a linear model might be appropriate to describe the relationship between the age and number of concerts attended by the respondents.

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Sunshine and Melanoma: A medical researcher wanted to examine the relationship between the amount of sunshine (x) in hours, and incidence of melanoma, a type of skin cancer (y). As an experiment he found the number of melanoma cases detected per 100,000 of population and the average daily sunshine in eight counties around the country. These data are shown below. Sunshine and Melanoma: A medical researcher wanted to examine the relationship between the amount of sunshine (x) in hours, and incidence of melanoma, a type of skin cancer (y). As an experiment he found the number of melanoma cases detected per 100,000 of population and the average daily sunshine in eight counties around the country. These data are shown below.    -Estimate the number of skin cancer cases per 100,000 people who live in a state that gets 6 hours of sunshine on average. -Estimate the number of skin cancer cases per 100,000 people who live in a state that gets 6 hours of sunshine on average.

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The value of the sum of squares for regression SSR can never be smaller than 0.0.

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In a regression problem the following pairs of (x, y) are given: (3, 1), (3, -1), (3, 0), (3, -2) and (3, 2). That indicates that the:

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