Obtain the Correlation Matrix
-A multiple linear regression model of the form $\mathrm { y } _ { \mathrm { i } } = \beta _ { 0 } + \beta _ { 1 } \mathrm { x } _ { 1 \mathrm { i } } + \beta _ { 2 } \mathrm { x } _ { 2 \mathrm { i } } + \beta _ { 3 } \mathrm { x } _ { 3 \mathrm { i } } + \varepsilon _ { \mathrm { i } }$ has how many parameters to be estimated?
A) 4
B) 5
C) 3
D) 1

Question

Quizplus · Accepted Answer

The model has four parameters to be estimated: $\beta_0$ (the intercept), $\beta_1$, $\beta_2$, and $\beta_3$ (the coefficients for each of the three predictors $x_{1i}$, $x_{2i}$, and $x_{3i}$).

Obtain the Correlation Matrix -A Multiple Linear Regression Model of the Form

Obtain the Correlation Matrix
-A Multiple Linear Regression Model of the Form