Homework Answers
Upper bound of 95% confidence interval=0.13+0.025*2.306=0.18765
Upper bound of 95% confidence interval=0.19
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O there is not enough information to determine whether the two...
Figure 2 Regression Output SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Square Standard...
Figure 2 Regression Output SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations 0.921261 0.848722 0.8055 0.711125 10 ANOVA Significance MS 0.001347 Regression Residual Total 19.86011 9.930053 19.63628 3.539894 0.505699 23.4 Standard Error Upper 95% Coefficients 0.20018 2.211198 0.07185 tStat P-value Lower 95% Intercept Size (cubic Metres) Weight (00's kg 2.19481 1.794453 0.676122 3.270412 0.013667 0.612423 3.809974 0.47295 0.329255 0.84353 -0.23731 0.819212 0.169626 0.42356 0.684594 (a)Based on the above regression output, interpret the regression coefficients...
completion Status: In the California school example, we ran a regression of test score on average...
completion Status: In the California school example, we ran a regression of test score on average come regression result is given below. The statistic for the hypotheses test , 0, 0 SUMMARY OUTPUT Regression Statistics Multiple R 0.15783919 R Square Adjusted R Square 0.02258046 Standard Error Observations 420 ANOVA Regression Residual Total SSMS Significance F 3789.537996 3789.538 10.6797889 0.00117258 148320.0556 354.832669 152109.5936 419 Coefficients 660.531205 -0.416193 Standard Error t Stat 2.156341206 306.320356 0.127354254 P-value 0 Intercept X Variable 1 Lower...
Use the following information to answer the questions below: Heat Power is a utility company that...
Use the following information to answer the questions below: Heat Power is a utility company that would like to predict the monthly heating bill for a household in a particular region during the month of January. A random sample of 18 households in the region were selected and their January heating bill recorded. The data is shown in the table below along with the square footage of the house (SF), the age of the heating system in years (Age), and...
What is test statistic? What is p-value? b. Construct a 95% confidence interval for each regression...
What is test statistic?
What is p-value?
b. Construct a 95% confidence interval for each regression
coefficient and interpret its meaning.
utility company would like to predict the monthly heating bill for a household in a certain county in January. A random sample of households in the county was selected and their January heating bill was recorded along with the variables SF, Age, and Temp, with the results shown i i Click the icon to view the regression output. the...
Need help with 1-5 × 215-QL Q Microsoft Word-QM215 Quiz t 4: SU2018 Q 0M2 15%20Quiz%204.pdf...
Need help with 1-5
× 215-QL Q Microsoft Word-QM215 Quiz t 4: SU2018 Q 0M2 15%20Quiz%204.pdf QM215 Quiz 4 Use the following output for Questions 1-5 A realtor built a regression model to explain the selling price of homes in a large Midwestern city. The variables are: PRICE -The sales price is measured in thousands of dollars. For example, a value of home that sold for $269,000 will have a value of 269 in this dataset. SQFT- The size of...
The following regression output was generated based on a sample of utility customers. The dependent variable...
The following regression output was generated based on a sample of utility customers. The dependent variable was the dollar amount of the monthly bill and the independent variable was the size of the house in square feet. SUMMARY OUTPUT Multiple R 0.149769088 R Square 0.02243078 Adjusted R Square -0.012482407 Standard Error 16.72762259 Observations 30 ANOVA df SS MS F Regression 1 179.7725274 179.7725 0.642473 Residual 28 7834.774007 279.8134 Total 29 8014.546534 Coefficients Standard Error t Stat P-value Intercept 66.44304169...
A real estate builder wishes to determine how house size is influenced by family income, family...
A real estate builder wishes to determine how house size is influenced by family income, family size, and education of the head of household. House size is measured in hundreds of square feet, income is measured in thousands of dollars, and education is measured in years. A partial computer output is shown below. SUMMARY OUTPUT Regression Statistics Multiple R 0.865 R Square 0.748 Adjusted R Square _____ Standard Error 5.195 Observations 50 ANOVA df SS MS F Significance F Regression...
Heat Power is a utility company that would like to predict the monthly heating bill for...
Heat Power is a utility company that would like to predict the monthly heating bill for a household in a particular region during the month of January. A random sample of 18 households in the region were selected and their January heating bill recorded. The data is shown in the table below along with the square footage of the house (SF), the age of the heating system in years (Age), and the type of heating system (Type: heat pump =...
Valle Crucis Corporation wanted to determine the relationship between its monthly operating costs and a potential...
Valle Crucis Corporation wanted to determine the relationship between its monthly operating costs and a potential cost driver, machine hours. The output of a regression analysis showed the following information (note: only a portion of the regression analysis results is presented here) (Click the icon to view the portion of the regression analysis ) What is closest to the total cost if the firm uses 4,200 machine hours? i Data Table O A. $12 372,975 38 OB. $2,945 95 O...
Valle Crucis Corporation wanted to determine the relationship between its monthly operating costs and a potential...
Valle Crucis Corporation wanted to determine the relationship between its monthly operating costs and a potential cost driver, machine hours. The output of a regression analysis showed the following information (note: only a portion of the regression analysis results is presented here): (Click the icon to view the portion of the regression analysis.) What is the variable cost per unit answers are rounded)? O A. $2,946 O B. $.98 OC. $.05 OD. $.72 Data Table SUMMARY OUTPUT Regression Statistics Multiple...
Figure 2 Regression Output SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations 0.921261 0.848722 0.8055 0.711125 10 ANOVA Significance MS 0.001347 Regression Residual Total 19.86011 9.930053 19.63628 3.539894 0.505699 23.4 Standard Error Upper 95% Coefficients 0.20018 2.211198 0.07185 tStat P-value Lower 95% Intercept Size (cubic Metres) Weight (00's kg 2.19481 1.794453 0.676122 3.270412 0.013667 0.612423 3.809974 0.47295 0.329255 0.84353 -0.23731 0.819212 0.169626 0.42356 0.684594 (a)Based on the above regression output, interpret the regression coefficients...
completion Status: In the California school example, we ran a regression of test score on average come regression result is given below. The statistic for the hypotheses test , 0, 0 SUMMARY OUTPUT Regression Statistics Multiple R 0.15783919 R Square Adjusted R Square 0.02258046 Standard Error Observations 420 ANOVA Regression Residual Total SSMS Significance F 3789.537996 3789.538 10.6797889 0.00117258 148320.0556 354.832669 152109.5936 419 Coefficients 660.531205 -0.416193 Standard Error t Stat 2.156341206 306.320356 0.127354254 P-value 0 Intercept X Variable 1 Lower...
Use the following information to answer the questions below: Heat Power is a utility company that would like to predict the monthly heating bill for a household in a particular region during the month of January. A random sample of 18 households in the region were selected and their January heating bill recorded. The data is shown in the table below along with the square footage of the house (SF), the age of the heating system in years (Age), and...
What is test statistic?
What is p-value?
b. Construct a 95% confidence interval for each regression
coefficient and interpret its meaning.
utility company would like to predict the monthly heating bill for a household in a certain county in January. A random sample of households in the county was selected and their January heating bill was recorded along with the variables SF, Age, and Temp, with the results shown i i Click the icon to view the regression output. the...
Need help with 1-5
× 215-QL Q Microsoft Word-QM215 Quiz t 4: SU2018 Q 0M2 15%20Quiz%204.pdf QM215 Quiz 4 Use the following output for Questions 1-5 A realtor built a regression model to explain the selling price of homes in a large Midwestern city. The variables are: PRICE -The sales price is measured in thousands of dollars. For example, a value of home that sold for $269,000 will have a value of 269 in this dataset. SQFT- The size of...
Heat Power is a utility company that would like to predict the monthly heating bill for a household in a particular region during the month of January. A random sample of 18 households in the region were selected and their January heating bill recorded. The data is shown in the table below along with the square footage of the house (SF), the age of the heating system in years (Age), and the type of heating system (Type: heat pump =...
Valle Crucis Corporation wanted to determine the relationship between its monthly operating costs and a potential cost driver, machine hours. The output of a regression analysis showed the following information (note: only a portion of the regression analysis results is presented here) (Click the icon to view the portion of the regression analysis ) What is closest to the total cost if the firm uses 4,200 machine hours? i Data Table O A. $12 372,975 38 OB. $2,945 95 O...
Valle Crucis Corporation wanted to determine the relationship between its monthly operating costs and a potential cost driver, machine hours. The output of a regression analysis showed the following information (note: only a portion of the regression analysis results is presented here): (Click the icon to view the portion of the regression analysis.) What is the variable cost per unit answers are rounded)? O A. $2,946 O B. $.98 OC. $.05 OD. $.72 Data Table SUMMARY OUTPUT Regression Statistics Multiple...
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