Regression model involving 4 independent variables and a sample of 15 observations resulted in the following sum of squares. ssr = 165 sse = 60 the multiple coefficient of determination is a. 5. b. 7333. c. 275. d. 3636.

The multiple coefficient of determination is b. .7333

Step-by-step explanation:

The coefficient of determination, denoted as R², is defined as follows:

R² = SSR / SST

where

Since we are given SSR and SSE, we can calculate SST by using the equation

SSE = SST - SSR

where

Thus,

SST = SSE + SSR

       = 60 +165

       = 225

Therefore,

R² = SSR / SST

R² = 165 / 225

R² = 0.7333

Therefore, the multiple coefficient of determination is 0.7333

(-5,-28)

i graphed to on desmos.