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# Use the appropriate Excel add-in to generate the Correlation matrix.

INSTRUCTIONS TO CANDIDATES

Use the appropriate Excel add-in to generate the Correlation matrix. Paste the output in the appropriate box on sheet 'Data' (ignore that some numbers keep changing, just generate the output).

Use the appropriate Excel add-in to regress price on comfort and capacity. Paste the output in the appropriate box on sheet 'Data' (ignore that some numbers keep changing, just generate the output).

Use the appropriate Excel add-in to generate the Correlation matrix. Paste the output in the appropriate box on sheet 'Data' (ignore that some numbers keep changing, just generate the output). Use the appropriate Excel add-in to regress price on comfort and capacity. Paste the output in the appropriate box on sheet 'Data' (ignore that some numbers keep changing, just generate the output). Based on your Regression output, answer the following questions: What is the interpretation of adjusted R-square for this problem? What price would you predict for a backpack with a mean capacity of 5700 (cubic inches) and comfort rating of 4? Provide the appropriate test statistic and p-value for assessing whether there is evidence that comfort aids in predicting price. test statistic p-value ---> Provide an interpretation for the sample regression coefficient of capacity. Sample regression coefficient ----> Interpretation --> Is the overall model significant at 0.05 level of significance? Why or why not. Does capacity aid in predicting price at 0.05 level of significance? Why or why not.

What price would you predict for a backpack with a mean capacity of 5700 (cubic inches) and comfort rating of 4?

Provide the appropriate test statistic and p-value for assessing whether there is evidence that comfort aids in predicting price. test statistic

p-value --->

Provide an interpretation for the sample regression coefficient of capacity.

Sample regression coefficient ---->

Interpretation -->

Is the overall model significant at 0.05 level of significance? Why or why not.

Does capacity aid in predicting price at 0.05 level of significance? Why or why not.

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