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Review of phone in points between 0 and 100 Pixel Density (ppi) Number of pixels per square inch in the screen Battery Scores The number of hours...

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-Run a multiple linear regression using the data and show the output from Excel. Note: exclude the dummy variable "iOS" when running the multiple regression. Also, remember to tick all the graph options which may help you answer Part N.

-Is the coefficient estimate for the Battery Score statistically different than zero at the 5% level of significance? Set-up the correct hypothesis test using the results found in the table in Part (G) using both the critical value and p-value approach. Interpret the coefficient estimate of the slope.

-Interpret the remaining slope coefficient estimates. Discuss whether the signs are what you are expecting and explain your reasoning.  

-Interpret the value of the Adjusted R2. Is there a large difference between the R2 and the Adjusted R2? If so, what may explain the reasoning for this?  

-Is the overall model statistically significant at the 5% level of significance? Use the p-value approach.

 

DATA:


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Review of phone in points between 0 and 100
Pixel Density (ppi) Number of pixels per square inch in the screen Battery Scores The number of hours that the phone lasts based on several real-
world scenarios including video-use, web browsing and phone calls. Fingerprint A dummy variable to indicate if the phone has a fingerprint scanner Android Dummy variable to indicate that the phone uses a version of
Android Windows Dummy variable to indicate that the phone uses a mobile version of
Windows
Dummy variable to indicate that the phone uses iOS

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