Question 2 The following Excel output shows the analysis of the retail price (in RM) for 12 randomly Not yet answered selected laptop computers along with their processor speeds in gigahertz. ANOVA Marked out of 2.00 Significance P Flag question df SS MS F F Regression 1 2398556.165 2398556 22.95493 0.000733344 Error 10 1044897.835 104489.8 Total 11 3443454 Standard Coefficients Error t Stat P-value Lower 95% Upper 95% Intercept -773.090909 493.7706905 -1.56569 0.14849 1873.280564 327.0987450 Speed 1407.933884 293.8625409 4.791131 0.000733 753.1673426 2062.70042 Calculate the coefficient of correlation for this relationship. Select one: O A. 0.70 O B. 0.83 O C. 70% O D. 83%Question 6 Output below shows determinants affecting maintenance cost per month (in RM) of a school Not yet answered bus. Age given in years and distance travelled in miles. SUMMARY OUTPUT Marked out of 2.00 Regression Statistics Flag question Multiple R 0.524618 R Square 0.275224 Adjusted R Square 0.256399 Standard Error 46.29465 Observations 80 ANOVA df SS MS F gnificance F Regression 2 62666.382 31333.191 14.61985 4.15E-06 Residual 77 165026.01 2143.19488 Total 79 227692.39 Coefficient:andard Err t Stat P-value Lower 95%Upper 95%ower 95.05 pper 95.0% Intercept 105.8991 112.94728 0.93759756 0.351383 -119.008 330.8059 -119.008 330.8059 Age 6.165378 2.219591 2.77770915 0.006873 1.745608 10.58515 1.745608 10.58515 Distance 0.362879 0.14475 2.50693926 0.014285 0.074645 0.651113 0.074645 0.651113 Identify the correct regression equation to represent this output. Select one: A. Cost = 105.8991 + 6.1654Distance + 0.3629Age O B. Age = 105.8991 + 6.1654Cost + 0.3629Distance O C. Distance = 105.8991 + 6.1654Cost + 0.3629Distance O D. Cost = 105.8991 + 6.1654Age + 0.3629DistanceQuestion 7 A group of students had a canteen day, and the table below shows the number of items sold Not yet answered and the total sales of these items. Number of items Marked out of 3.00 Total sales (RM) 14 35 Flag question 12 33 34 57 54 89 23 42 18 40 44 68 Construct the linear regression equation for these variables. Select one: O A. Items = 15.91 + 1.27Sales B. Items = 1.27 + 15.91/tems O C. Sales = 1.27 + 15.91Items O D. Sales = 15.91 + 1.27Items