Question

Following the usual labeling, what is the value of β2 in the regression equation? Profit =...

Following the usual labeling, what is the value of β2 in the regression equation?

Profit = 950 - 0.3*(LC) + 0.04*(R) +  ε

Homework Answers

Answer #1

The regression equation with two variables is expressed as:

Given equation

Profit = 950 - 0.3*(LC) + 0.04*(R) +  ε

Comparing it to the given equation

y = Profit

= LC

= R

= 950

= -0.3

= 0.04

hence, = 0.04 given the usual labeling.

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
In a regression analysis involving 30 observations, the following estimated regression equation was obtained. ŷ =...
In a regression analysis involving 30 observations, the following estimated regression equation was obtained. ŷ = 17.6 + 3.8x1 − 2.3x2 + 7.6x3 + 2.7x4 For this estimated regression equation, SST = 1,815 and SSR = 1,780. (a) At α = 0.05, test the significance of the relationship among the variables. State the null and alternative hypotheses. H0: β0 = β1 = β2 = β3 = β4 = 0 Ha: One or more of the parameters is not equal to...
In a multiple regression equation k = 4 and n = 27, the MSE value is...
In a multiple regression equation k = 4 and n = 27, the MSE value is 4.20, and SST is 540.56. a. At the 0.05 significance level, can we conclude that any of the regression coefficients are not equal to 0? (Round the F value to 2 decimal places.) H0: β1 = β2 = β3 = β4 = β5 = 0                  H1: Not all β's equal zero. df1 = ? df2 = ? , so H0 is rejected if F >...
In a regression analysis involving 30 observations, the following estimated regression equation was obtained. ŷ =...
In a regression analysis involving 30 observations, the following estimated regression equation was obtained. ŷ = 17.6 + 3.8x1 − 2.3x2 + 7.6x3 + 2.7x4 For this estimated regression equation, SST = 1,835 and SSR = 1,800. (a)At α = 0.05, test the significance of the relationship among the variables.State the null and alternative hypotheses. -H0: One or more of the parameters is not equal to zero. Ha: β0 = β1 = β2 = β3 = β4 = 0 -H0:...
In a regression analysis involving 27 observations, the following estimated regression equation was developed. ŷ =...
In a regression analysis involving 27 observations, the following estimated regression equation was developed. ŷ = 25.2 + 5.5x1 For this estimated regression equation SST = 1,550 and SSE = 530. (a) At α = 0.05, test whether x1  is significant.State the null and alternative hypotheses. H0: β1 ≠ 0 Ha: β1 = 0 H0: β0 ≠ 0 Ha: β0 = 0    H0: β0 = 0 Ha: β0 ≠ 0 H0: β1 = 0 Ha: β1 ≠ 0 Find the value...
In a regression analysis involving 27 observations, the following estimated regression equation was developed. ŷ =...
In a regression analysis involving 27 observations, the following estimated regression equation was developed. ŷ = 25.2 + 5.5x1 For this estimated regression equation SST = 1,600 and SSE = 550. (a) At α = 0.05, test whether x1is significant.State the null and alternative hypotheses. H0: β0 = 0 Ha: β0 ≠ 0 H0: β0 ≠ 0 Ha: β0 = 0    H0: β1 ≠ 0 Ha: β1 = 0 H0: β1 = 0 Ha: β1 ≠ 0 Find the value...
In a regression analysis involving 27 observations, the following estimated regression equation was developed. ŷ =...
In a regression analysis involving 27 observations, the following estimated regression equation was developed. ŷ = 25.2 + 5.5x1 For this estimated regression equation SST = 1,600 and SSE = 550. (a) At α = 0.05, test whether x1 is significant. State the null and alternative hypotheses. H0: β0 = 0 Ha: β0 ≠ 0H0: β0 ≠ 0 Ha: β0 = 0    H0: β1 ≠ 0 Ha: β1 = 0H0: β1 = 0 Ha: β1 ≠ 0 Find the value of...
critical r value= .811 r= -.6857 If appropriate, find the equation of the regression line (y'=...
critical r value= .811 r= -.6857 If appropriate, find the equation of the regression line (y'= a +bx). If a regression line is not appropriate, state why this is true.
Use the following linear regression equation to answer the questions. x1 = 1.5 + 3.5x2 –...
Use the following linear regression equation to answer the questions. x1 = 1.5 + 3.5x2 – 8.2x3 + 2.1x4 (a) Which variable is the response variable? A. x3 B. x1     C. x2 D. x4 (b) Which variables are the explanatory variables? (Select all that apply.) A. x4 B. x1 C. x3 D. x2 (c) Which number is the constant term? List the coefficients with their corresponding explanatory variables. constant ____________ x2 coefficient_________ x3 coefficient_________ x4 coefficient_________ (d) If x2 =...
The estimated regression equation for a model involving two independent variables and 55 observations is: y-hat...
The estimated regression equation for a model involving two independent variables and 55 observations is: y-hat = 55.17 + 1.1X1 - 0.153X2 Other statistics produced for analysis include: SSR = 12370.8 SST = 35963.0 Sb1 = 0.33 Sb2 = 0.20 Interpret b1 and b2 in this estimated regression equation b. Predict y when X1 = 55 and X2 = 70. Compute R-square and Adjusted R-Square. e. Compute MSR and MSE. f. Compute F and use it to test whether the...
1. Compute the regression equation (regression coefficient and constant) using the same data from the previous...
1. Compute the regression equation (regression coefficient and constant) using the same data from the previous question. Compute the explained variance (R Square) and the standardized regression coefficient (beta) for this model. For R Square, Sums of Squares Explained = 235.944; Sums of Squares Total = 520. 2. Given: sample R Square 0.232; SS explained = 2848.62; SS residual = 9425.25; N = 62. Test the hypotheses Ho: R square = 0; Ha: R square NE 0 at the .05...