The research department at Geprek Bento analyzed the relationship between the Revenue and independent variables: endorsement expense, tiktok advertising expense, Instagram advertising expense, youtube advertising expense, and facebook advertising expense. The following output summarize the regression result:

Based on the ANOVA, What can we conclude from the coefficient of multiple determinations?

A) We conclude that endorsement, tiktokads, instaads, youtubeads, and facebookads explain 81% of the variation in revenue.

B) We conclude that endorsement, tiktokads, instaads, youtubeads, and facebookads explain 53% of the variation in revenue.

C) We conclude that endorsement explain 16% of the variation in in revenue.

D) We conclude that revenue explain 53% of the variation in endorsement, tiktokads, instaads, youtubeads, and facebookads.

reg revenue endorsement tiktokads instaads youtubeads facebookads Source SS df MS Number of obs F(5, 359) = 365 = 81.99 Model Residual 895.080708 783.880029 5 179.016142 359 2.18350983 Prob > F = 0.0000 R-squared = 0.5331 Adj R-squared = 0.5266 Total 1678.96074 364 4.6125295 Root MSE = 1.4777 revenue Coef. Std. Err. t P>|t| [95% Conf. Interval] endorsement -5.48e-15 3.89e-15 tiktokads 2.507518 .3309455 instaads 12.73578 .9527583 youtubeads 1.560298 .2754107 facebookads 3.193821 .6469414 _ cons -1.753211 .3601462 -1.41 0.160 7.58 0.000 13.37 0.000 5.67 0.000 4.94 0.000 -4.87 0.000 -1.31e-14 2.17e-15 1.856683 3.158353 10.8621 14.60947 1.018677 2.101919 1.92155 4.466092 -2.461472 -1.04495