A hypothetical company examined the relationship between monthly sales (in millions of dollars) and a selection of advertising choices - television, radio, magazines, and online - for 10 companies in 2014. All advertising expenditures are in millions of dollars. The results can be found in Question 2 output.

How does observation 10 impact the value of the intercept?

For the same company as in the previous question - see output Question 2

How does observation 10 influence the slope for the independent variable online advertising?

Output - Question 2 Regression Statistics Multiple R 0.928310328 R Square 0.861760066 Adjusted R Square 0.751168118 Standard Error 6.021967692 Observations 10 ANOVA df SS MS F Significance F Regression 4 1130.315526 282.5789 7.79225 0.022413031 Residual 5 181.3204744 36.26409 Total 1311.636 Durbin Watson 1.204251586 Coefficients Standard Error t Stat P-value 95% LL 95% UL VIF Q P-value (Q) Intercept 228. 1290443 35.2890362 6.464587 0.001319 137.4156888 318.8424 Television 0.753306305 2.349356898 0.320644 0.761448 -5.285907863 6.79252 1.496401 -0.43838 0.66111264 Magazines 0. 178683776 1.501288045 0.11902 0.909893 -3.680500002 4.037868 1.700322 0.586837 0.55731352 Radio 14.62119624 4.339674495 3.369192 0.019907 3.465707806 25.77668 1.747002 0.95683 0.33865291 Online 21.45250327 5.50583698 3.89632 0.011452 7.299298739 35.60571 2.003315 1.207669 0.22717448 Obs # Leverage Cook's D DFFITS DFBETAO DFBETA1 DFBETA2 DFBETA3 DFBETA4 1 0.925417614 1.135013441 2.235434 0.705916 -0.425685017 0.508045 0.400786 -1.44166 2 0.705118458 0.62528303 -1.84031 -0.65589 -0.674516551 -0.25112 1.30942 0.665885 3 0.396964499 0.400185852 -2.02059 0.959598 0.219013681 -0.07515 -1.25638 -0.8742 4 0.154205022 0.009152757 -0.19633 0.070884 -0.008044464 0.07602 -0.10106 -0.08996 5 0.132142271 4.33712E-05 0.013173 2.38E-05 0.003437531 -0.00476 0.000721 0.00027 6 0.399721899 0.031568279 -0.36408 0.110986 -0.139917474 0.292018 -0.08749 -0.1852 7 0.428681529 0.302273365 1.422945 -0.12837 -0.006594905 -1.17375 0.635236 0.393384 8 0.308087756 0.066811469 0.560736 0.163735 -0.378091255 0.208786 -0.03208 -0.04438 9 0.744029043 0.005319277 -0.146 -0.10378 0.099882056 -0.07824 0.09375 0.062623 10 0.805631909 3.067719524 6.871539 -3.94628 4.265678659 2.334334 -0.36263 2.875159