In a regression analysis if SST = 4500 and SSE = 1575, then the coefficient of determination is:.A) 0.35B) 0.65C) 2.85D) 0.45

The coefficient of determination of the given parameter is (b) 0.65

The given parameters are:

--- the total sum of squares

--- the sum of squares error

The coefficient of determination (R²) is calculated using the following formula  

Substitute values for SST and SSE

Simplify the numerator

Divide the fraction

Hence, the coefficient of determination is (b) 0.65

Read more about coefficient of determination at:

link

B) 0.65

Step-by-step explanation:

In a regression analysis, the formula for the coefficient of determination (R²)=

1 - SSE/SST

SSE = Sum of squared of errors

SST = Total sum of squares

From the above question,

SST = 4500

SSE = 1575

Coefficient of determination (R²) = 1 - 1575/4500

= 1 - 0.35

= 0.65

Therefore, the coefficient of determination = 0.65

idk

step-by-step explanation: