FiltersDone

Question type

Essay

Multiple Choice

Short Answer

True False

Matching

Exam 15: Multiple Regression

Show Answer

Share

---

All types

Filters

Study FlashcardsPractice ExamLearn

Question 31

Multiple Choice

Review LaterAdd Note

Review Later

The following estimated regression equation was developed relating yearly income (y in $1000s) of 30 individuals with their age (x₁) and their gender (x₂) (0 if male and 1 if female) . ​ = 30 + .7x₁ + 3x₂​ ​ Also provided are SST = 1200 and SSE = 384.The multiple coefficient of determination is

A) .32.
B) .42.
C) .68.
D) .50.

Correct Answer

verified

Show Answer

Question 32

Multiple Choice

Review LaterAdd Note

Review Later

The following estimated regression equation was developed relating yearly income (y in $1000s) of 30 individuals with their age (x₁) and their gender (x₂) (0 if male and 1 if female) . ​ = 30 + .7x₁ + 3x₂​ ​ Also provided are SST = 1200 and SSE = 384.The yearly income (in $) expected of a 24-year-old male individual is

A) $16,800.
B) $13,800.
C) $46,800.
D) $49,800.

Correct Answer

verified

Show Answer

Question 33

Multiple Choice

Review LaterAdd Note

Below you are given a partial computer output from a multiple regression analysis based on a sample of 16 observations. ​ The sum of squares due to error (SSE) equals

Below you are given a partial computer output from a multiple regression analysis based on a sample of 16 observations. ​ The degrees of freedom for the sum of squares explained by the regression (SSR) are

A regression analysis involved 17 independent variables and 697 observations.The critical value of t for testing the significance of each of the independent variable's coefficients will have​

Below you are given a partial computer output from a multiple regression analysis based on a sample of 16 observations. ​ Carry out the test of significance for the parameter β₁ at the 1% level.The null hypothesis should

In logistic regression,

In a multiple regression model involving 44 observations, the following estimated regression equation was obtained. ​ = 50 + 13x₁ + 40x₂ + 68x₃ ​ For this model, SSR = 600 and SSE = 400.The computed F statistic for testing the significance of the above model is

In order to test for the significance of a regression model involving 3 independent variables and 47 observations, the numerator and denominator degrees of freedom (respectively) for the critical value of F are

A regression analysis involved 2 independent variables and 27 observations.The critical value of t for testing the significance of each of the independent variable's coefficients will have _____ degrees of freedom.

In a multiple regression analysis, SSR = 1000 and SSE = 200.The multiple coefficient of determination is

In regression analysis, the response variable is the

A 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 regression analysis involved 5 independent variables and 99 observations.The critical value of t for testing the significance of each of the independent variable's coefficients will have _____ degrees of freedom.

The multiple coefficient of determination is

In order to test for the significance of a regression model involving 10 independent variables and 100 observations, the numerator and denominator degrees of freedom (respectively) for the critical value of F are

Below you are given a partial computer output from a multiple regression analysis based on a sample of 16 observations. ​ The t value obtained from the table which is used to test an individual parameter at the 1% level is

Determine if the model is significant based upon the data given at α = .01.

In a multiple regression model involving 44 observations, the following estimated regression equation was obtained: = 30 + 18x₁ + 43x₂ + 87x₃ ​ For this model, SSR = 800 and SST = 1400.The multiple correlation coefficient for the above model is

A regression model between sales (y in $1000) , unit price (x₁ in dollars) , and television advertisement (x₂ in dollars) resulted in the following function: ​ = 7 - 4x₁ + 5x₂ For this model, SSR = 3500, SSE = 1500, and the sample size is 20.The adjusted multiple coefficient of determination for this problem is