x, x\' A- A, EB 1 Normal 1 No Spac Heading 1 Heading 2 Tase Font EMAILHR (DEPEND

Question

x, x' A- A, EB 1 Normal 1 No Spac Heading 1 Heading 2 Tase Font EMAILHR (DEPENDNET VARIABLE): Hours Per Week spent on Email Descriptive Statistics Mean Std, Deviation EMAIL HOURS PER 335 5.98 7926 Valid NOistwise) 335 wwwHR (INDEPENDENT VARIABLE): Hours Per Week Spent on the Internet Descriptive Statistics Maximum Std Deviation WWW HOURS PER 9.33 11.689 SCATTERPLOT between EMAILHR (Dependent Variable) & WWWHR (Independent Variable) 20- oo o o o o o www HOURS PER WEEK All data erased on reboot. ter 10 minutes of inactivity

Explanation / Answer

gender variable is not shown in output given accordingly regression eq is

EMAILHR=4.619+0.198WWWHR

slope=0.198

yintercept=4.619

solution16

slolpe=0.198=y/xEMAILHR/WWWHR

For unit increase in wwwhr emailhr incraeses by 0.198

Soluion18:

R2 is the percentage of variation in the response that is explained by the model. The higher the R2value, the better the model fits your data. R2 is always between 0% and 100%.

R sq=0.085

8.5% variation in EMAILHR is explained by model.

1-R SQ=1-0.085=0.915=91.5%

91.5% is proportion of variation in EMAILHR is unexplained

Solution19:

model is significant from anova analysis

F=28.049

p=0.000

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