Exhibit 16-1 In a regression analysis involving 25 observations, the following estimated regression equation was developed. Also, the following standard errors and the sum of squares were obtained. SS1U1B1b1S1U1B0 = 3 SS1U1B1b2S1U1B0 = 6 SS1U1B1b3S1U1B0 = 7 SST = 4,800 SSE = 1,296 -Refer to Exhibit 16-1. The test statistic for testing the significance of the model is

A) 0.730 B) 18.926 C) 3.703 D) 1.369 A) 0.730 B) 18.926 C) 3.703 D) 1.369

Exhibit 16-4 In a laboratory experiment, data were gathered on the life span (Y in months) of 33 rats, units of daily protein intake (XS1U1B11S1U1B0), and whether or not agent XS1U1B12S1U1B0 (a proposed life extending agent) was added to the rats diet (XS1U1B12S1U1B0 = 0 if agent XS1U1B12S1U1B0 was not added, and XS1U1B12S1U1B0 = 1 if agent was added.) From the results of the experiment, the following regression model was developed. Also provided are SSR = 60 and SST = 180. -Refer to Exhibit 16-4. The p-value for testing the significance of the regression model is

A) less than 0.01 B) between 0.01 and 0.025 C) between 0.025 and 0.05 D) between 0.05 and 0.10 A) less than 0.01 B) between 0.01 and 0.025 C) between 0.025 and 0.05 D) between 0.05 and 0.10

Exhibit 16-4 In a laboratory experiment, data were gathered on the life span (Y in months) of 33 rats, units of daily protein intake (XS1U1B11S1U1B0), and whether or not agent XS1U1B12S1U1B0 (a proposed life extending agent) was added to the rats diet (XS1U1B12S1U1B0 = 0 if agent XS1U1B12S1U1B0 was not added, and XS1U1B12S1U1B0 = 1 if agent was added.) From the results of the experiment, the following regression model was developed. Also provided are SSR = 60 and SST = 180. -Refer to Exhibit 16-4. From the above function, it can be said that the life expectancy of rats that were given agent X2 is

A) 1.7 months more than those who did not take agent X2 B) 1.7 months less than those who did not take agent X2 C) 0.8 months less than those who did not take agent X2 D) 0.8 months more than those who did not take agent X2 A) 1.7 months more than those who did not take agent X2 B) 1.7 months less than those who did not take agent X2 C) 0.8 months less than those who did not take agent X2 D) 0.8 months more than those who did not take agent X2

Exhibit 16-1 In a regression analysis involving 25 observations, the following estimated regression equation was developed. Also, the following standard errors and the sum of squares were obtained. SS1U1B1b1S1U1B0 = 3 SS1U1B1b2S1U1B0 = 6 SS1U1B1b3S1U1B0 = 7 SST = 4,800 SSE = 1,296 -Refer to Exhibit 16-1. The p-value for testing the significance of the regression model is

A) less than 0.01 B) between 0.01 and 0.025 C) between 0.025 and 0.05 D) between 0.05 and 0.1 A) less than 0.01 B) between 0.01 and 0.025 C) between 0.025 and 0.05 D) between 0.05 and 0.1

Exhibit 16-4 In a laboratory experiment, data were gathered on the life span (Y in months) of 33 rats, units of daily protein intake (XS1U1B11S1U1B0), and whether or not agent XS1U1B12S1U1B0 (a proposed life extending agent) was added to the rats diet (XS1U1B12S1U1B0 = 0 if agent XS1U1B12S1U1B0 was not added, and XS1U1B12S1U1B0 = 1 if agent was added.) From the results of the experiment, the following regression model was developed. Also provided are SSR = 60 and SST = 180. -Refer to Exhibit 16-4. The life expectancy of a rat that was given 3 units of protein daily, and who took agent X2 is

A) 36.7 B) 36 C) 49 D) 38.4 A) 36.7 B) 36 C) 49 D) 38.4

Exhibit 16-4 In a laboratory experiment, data were gathered on the life span (Y in months) of 33 rats, units of daily protein intake (XS1U1B11S1U1B0), and whether or not agent XS1U1B12S1U1B0 (a proposed life extending agent) was added to the rats diet (XS1U1B12S1U1B0 = 0 if agent XS1U1B12S1U1B0 was not added, and XS1U1B12S1U1B0 = 1 if agent was added.) From the results of the experiment, the following regression model was developed. Also provided are SSR = 60 and SST = 180. -Refer to Exhibit 16-4. The degrees of freedom associated with SSE are

A) 3 B) 33 C) 32 D) 30 A) 3 B) 33 C) 32 D) 30

Exam 16: Regression Analysis: Model Building

Exhibit 16-1 In a regression analysis involving 25 observations, the following estimated regression equation was developed. Also, the following standard errors and the sum of squares were obtained. S_b1 = 3 S_b2 = 6 S_b3 = 7 SST = 4,800 SSE = 1,296 -Refer to Exhibit 16-1. The test statistic for testing the significance of the model is

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Question 61

Exhibit 16-2 In a regression model involving 30 observations, the following estimated regression equation was obtained. For this model, SSR = 1,740 and SST = 2,000. -Refer to Exhibit 16-2. The value of MSE is

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Question 62

Exhibit 16-4 In a laboratory experiment, data were gathered on the life span (Y in months) of 33 rats, units of daily protein intake (X₁), and whether or not agent X₂ (a proposed life extending agent) was added to the rats diet (X₂ = 0 if agent X₂ was not added, and X₂ = 1 if agent was added.) From the results of the experiment, the following regression model was developed. Also provided are SSR = 60 and SST = 180. -Refer to Exhibit 16-4. The p-value for testing the significance of the regression model is

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Question 63

Exhibit 16-2 In a regression model involving 30 observations, the following estimated regression equation was obtained. For this model, SSR = 1,740 and SST = 2,000. -Refer to Exhibit 16-2. The p-value for testing the significance of the regression model is

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Question 64

A regression model relating the yearly income (Y), age (X₁), and the gender of the faculty member of a university (X₂ = 1 if female and 0 if male) resulted in the following information. a.Is gender a significant variable? b.Determine the multiple coefficient of determination.

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Question 65

Exhibit 16-2 In a regression model involving 30 observations, the following estimated regression equation was obtained. For this model, SSR = 1,740 and SST = 2,000. -Refer to Exhibit 16-2. The degrees of freedom associated with SST are

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Question 66

Exhibit 16-4 In a laboratory experiment, data were gathered on the life span (Y in months) of 33 rats, units of daily protein intake (X₁), and whether or not agent X₂ (a proposed life extending agent) was added to the rats diet (X₂ = 0 if agent X₂ was not added, and X₂ = 1 if agent was added.) From the results of the experiment, the following regression model was developed. Also provided are SSR = 60 and SST = 180. -Refer to Exhibit 16-4. From the above function, it can be said that the life expectancy of rats that were given agent X₂ is

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Question 67

A regression analysis was applied in order to determine the relationship between a dependent variable and 8 independent variables. The following information was obtained from the regression analysis. R Square = 0.80 SSR = 4,280 Total number of observations n = 56 a.Fill in the blanks in the following ANOVA table. b.Is the model significant? Let $\alpha$ = 0.05. $A regression analysis was applied in order to determine the relationship between a dependent variable and 8 independent variables. The following information was obtained from the regression analysis. R Square = 0.80 SSR = 4,280 Total number of observations n = 56 a.Fill in the blanks in the following ANOVA table. b.Is the model significant? Let \alpha = 0.05.$

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Question 68

Serial correlation is

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Question 69

Exhibit 16-1 In a regression analysis involving 25 observations, the following estimated regression equation was developed. Also, the following standard errors and the sum of squares were obtained. S_b1 = 3 S_b2 = 6 S_b3 = 7 SST = 4,800 SSE = 1,296 -Refer to Exhibit 16-1. The p-value for testing the significance of the regression model is

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Question 70

Exhibit 16-4 In a laboratory experiment, data were gathered on the life span (Y in months) of 33 rats, units of daily protein intake (X₁), and whether or not agent X₂ (a proposed life extending agent) was added to the rats diet (X₂ = 0 if agent X₂ was not added, and X₂ = 1 if agent was added.) From the results of the experiment, the following regression model was developed. Also provided are SSR = 60 and SST = 180. -Refer to Exhibit 16-4. The life expectancy of a rat that was given 3 units of protein daily, and who took agent X₂ is

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Question 71

Monthly total production costs and the number of units produced at a local company over a period of 10 months are shown below. a.Draw a scatter diagram for the above data. b.Assume that a model in the form of best describes the relationship between X and Y. Estimate the parameters of this curvilinear regression equation.

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Question 72

The range of the Durbin-Watson statistic is between

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Question 73

Thirty-four observations of a dependent variable (Y) and two independent variables resulted in an SSE of 300. When a third independent variable was added to the model, the SSE was reduced to 250. At 95% confidence, determine whether or not the third independent variable contributes significantly to the model.

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Question 74

Exhibit 16-4 In a laboratory experiment, data were gathered on the life span (Y in months) of 33 rats, units of daily protein intake (X₁), and whether or not agent X₂ (a proposed life extending agent) was added to the rats diet (X₂ = 0 if agent X₂ was not added, and X₂ = 1 if agent was added.) From the results of the experiment, the following regression model was developed. Also provided are SSR = 60 and SST = 180. -Refer to Exhibit 16-4. The degrees of freedom associated with SSE are

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Question 75

Exhibit 16-2 In a regression model involving 30 observations, the following estimated regression equation was obtained. For this model, SSR = 1,740 and SST = 2,000. -Refer to Exhibit 16-2. The value of MSR is

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Question 76

Showing 61 - 76 of 76

Exhibit 16-2 In a regression model involving 30 observations, the following estimated regression equation was obtained. For this model, SSR = 1,740 and SST = 2,000. -Refer to Exhibit 16-2. The value of MSE is

Exhibit 16-2 In a regression model involving 30 observations, the following estimated regression equation was obtained. For this model, SSR = 1,740 and SST = 2,000. -Refer to Exhibit 16-2. The p-value for testing the significance of the regression model is

A regression model relating the yearly income (Y), age (X₁), and the gender of the faculty member of a university (X₂ = 1 if female and 0 if male) resulted in the following information. a.Is gender a significant variable? b.Determine the multiple coefficient of determination.

Exhibit 16-2 In a regression model involving 30 observations, the following estimated regression equation was obtained. For this model, SSR = 1,740 and SST = 2,000. -Refer to Exhibit 16-2. The degrees of freedom associated with SST are

Serial correlation is

The range of the Durbin-Watson statistic is between

Exhibit 16-2 In a regression model involving 30 observations, the following estimated regression equation was obtained. For this model, SSR = 1,740 and SST = 2,000. -Refer to Exhibit 16-2. The value of MSR is

Data and Statistics

Descriptive Statistics: Tabular and Graphical Displays

Descriptive Statistics: Numerical Measures

Introduction to Probability

Discrete Probability Distributions

Continuous Probability Distributions

Sampling and Sampling Distributions

Interval Estimation

Hypothesis Tests

Inference About Means and Proportions With Two Populations

Inferences About Population Variances

Comparing Multiple Proportions, Test of Independence and Goodness of Fit

Experimental Design and Analysis of Variance

Simple Linear Regression

Multiple Regression

Time Series Analysis and Forecasting

Nonparametric Methods

Statistical Methods for Quality Control

Index Numbers

Decision Analysis on Website

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Exam 16: Regression Analysis: Model Building

Exhibit 16-2 In a regression model involving 30 observations, the following estimated regression equation was obtained. For this model, SSR = 1,740 and SST = 2,000. -Refer to Exhibit 16-2. The value of MSE is

Exhibit 16-2 In a regression model involving 30 observations, the following estimated regression equation was obtained. For this model, SSR = 1,740 and SST = 2,000. -Refer to Exhibit 16-2. The p-value for testing the significance of the regression model is

A regression model relating the yearly income (Y), age (X1), and the gender of the faculty member of a university (X2 = 1 if female and 0 if male) resulted in the following information. a.Is gender a significant variable? b.Determine the multiple coefficient of determination.

Exhibit 16-2 In a regression model involving 30 observations, the following estimated regression equation was obtained. For this model, SSR = 1,740 and SST = 2,000. -Refer to Exhibit 16-2. The degrees of freedom associated with SST are

Serial correlation is

The range of the Durbin-Watson statistic is between

Exhibit 16-2 In a regression model involving 30 observations, the following estimated regression equation was obtained. For this model, SSR = 1,740 and SST = 2,000. -Refer to Exhibit 16-2. The value of MSR is

Data and Statistics

Descriptive Statistics: Tabular and Graphical Displays

Descriptive Statistics: Numerical Measures

Introduction to Probability

Discrete Probability Distributions

Continuous Probability Distributions

Sampling and Sampling Distributions

Interval Estimation

Hypothesis Tests

Inference About Means and Proportions With Two Populations

Inferences About Population Variances

Comparing Multiple Proportions, Test of Independence and Goodness of Fit

Experimental Design and Analysis of Variance

Simple Linear Regression

Multiple Regression

Time Series Analysis and Forecasting

Nonparametric Methods

Statistical Methods for Quality Control

Index Numbers

Decision Analysis on Website

Sample Survey on Website

Filters

A regression model relating the yearly income (Y), age (X₁), and the gender of the faculty member of a university (X₂ = 1 if female and 0 if male) resulted in the following information. a.Is gender a significant variable? b.Determine the multiple coefficient of determination.