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

ID: 3226553 • Letter: X

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

Q-8

Correlation is significantly different from zero as p—value=0.000<0..05

Q-9

Bivariate Sample size =305

Q-10

Y-hat=4.619 + 0.198 X

Q-11

For each 1 hours per week spent on the internet , there is on an average an increase of 0.198 hours per week spent on email

Q-12

Regression coefficient is significantly different from zero as p-value=0.000<0.05

Q-13

Proportion of variation in dependent variable explained by this regression equation is =0.085

So proportion unexplained =1-0.085=0.915