Question

In a multiple regression, the following sample regression equation is obtained: yˆ = 161 + 12.4x1...

In a multiple regression, the following sample regression equation is obtained:

yˆ = 161 + 12.4x1 + 2.6x2.


a. Predict y if x1 equals 20 and x2 equals 42. (Round your answer to 1 decimal place.)

yˆ = _________


b. Interpret the slope coefficient of x1.

As x1 increases by one unit, y is predicted to decrease by 2.6 units, holding x2 constant.
As x1 increases by one unit, y is predicted to decrease by 12.4 units, holding x2 constant.
As x1 increases by one unit, y is predicted to increase by 2.6 units, holding x2 constant.
As x1 increases by one unit, y is predicted to increase by 12.4 units, holding x2 constant.

Homework Answers

Answer #1

Answer:

Given that:

In a multiple regression, the following sample regression equation is obtained:

yˆ = 161 + 12.4x1 + 2.6x2.

a) Predict y if x1 equals 20 and x2 equals 42.

Given x1 = 20 and x2= 42
Y-hat= 161 + 12.4x1 + 2.6x2
= 161 + 12.4(20) + 2.6(42) = 518.2

Answer: 518.2

b) Interpret the slope coefficient of x1.

Correct Answer: option As x1 increase by one unit, y is predicted to increase by 12.4 units, holding x2 constant

since Slope of X1 = 12.4 which is positive.

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 simple linear regression, the following sample regression equation is obtained: yˆ=407−21x.y^=407−21x. a. Interpret the...
In a simple linear regression, the following sample regression equation is obtained: yˆ=407−21x.y^=407−21x. a. Interpret the slope coefficient. As x increases by 1 unit, y is predicted to decrease by 21 units. As x increases by 1 unit, y is predicted to increase by 21 units. As x increases by 1 unit, y is predicted to decrease by 407 units. As x increases by 1 unit, y is predicted to increase by 407 units. b. Predict y if x equals...
11.2 Understanding the Fitted Regression Line. The fitted regression equation for a multiple regression is ŷ...
11.2 Understanding the Fitted Regression Line. The fitted regression equation for a multiple regression is ŷ = - 10.8 + 3.2*x1 + 2.8*x2 If x1 = 4 and x2 = 2, what is the predicted value of y? For the answer to part (a) to be valid, is it necessary that the values x1 = 4 and x2 = 2 correspond to a case in the data set? Explain why or why not? If you hold x1 at a fixed...
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 = 18.9 + 3.2x1 − 2.2x2 + 7.8x3 + 2.9x4 (a) Interpret b1 in this estimated regression equation. b1 = 7.8 is an estimate of the change in y corresponding to a 1 unit change in x3 when x1, x2, and x4 are held constant.b1 = 3.2 is an estimate of the change in y corresponding to a 1 unit change in x1 when x2,...
In a multiple linear regression with 40 observations, the following sample regression equation is obtained: yˆy^...
In a multiple linear regression with 40 observations, the following sample regression equation is obtained: yˆy^ = 10.0 + 2.7x1 − 1.4x2 with se = 5.86. Also, when x1 equals 16 and x2 equals 7, se(yˆ0)se(y^0) = 2.10. [You may find it useful to reference the t table.] a. Construct the 95% confidence interval for E(y) if x1 equals 16 and x2 equals 7. (Round intermediate calculations to at least 4 decimal places, "tα/2,df" value to 3 decimal places, and...
Consider the following sample regression equation yˆy^ = 150 – 20x, where y is the demand...
Consider the following sample regression equation yˆy^ = 150 – 20x, where y is the demand for Product A (in 1,000s) and x is the price of the product (in $). The slope coefficient indicates that if ________. Multiple Choice the price of Product A increases by $1, then we predict the demand to decrease 20 the price of Product A increases by $1, then we predict the demand to decrease by 20,000 the price of Product A increases by...
A fitted multiple regression equation is Y=12+3x1-5x2+7x3+2x4. when x1 increases 2 units and x2 increases 2...
A fitted multiple regression equation is Y=12+3x1-5x2+7x3+2x4. when x1 increases 2 units and x2 increases 2 units as well, while x3 and x4 remain unchanged, what change would you expect in your estimate of Y? A) decrease by 4 B) increase by 2 C) no change in y D) decrease by 2
Using data on a sample of less-developed nations, a regression of Y = mortality rate (deaths...
Using data on a sample of less-developed nations, a regression of Y = mortality rate (deaths per 1000 population), X1 = percentage of population who have completed high school, and X2 = gross domestic product (GDP) yields the following equation: EY=34.53-0.13X1-0.64X2. Interpret the OLS coefficient for X1. Suppose you are asked to sketch on a single graph the predicted relationships between Y and X1 when X2 = 0, X2 = 10, and X2 = 20, are you going to get...
Exhibit 15-6 Below you are given a partial Excel output based on a sample of 16...
Exhibit 15-6 Below you are given a partial Excel output based on a sample of 16 observations. ANOVA df SS MS F Regression 4,853 2,426.5 Residual 485.3 Coefficients Standard Error Intercept 12.924 4.425 x1 -3.682 2.630 x2 45.216 12.560 1. Refer to Exhibit 15-6. The estimated regression equation is                 a.             y = β0 + β1x1 + β2x2 + ε                 b.             E(y) = β0 + β1x1 + β2x2                 c.             y hat = 12.924 - 3.682...
Using data from 50 workers, a researcher estimates Wage = β0 + β1 Education + β2Experience...
Using data from 50 workers, a researcher estimates Wage = β0 + β1 Education + β2Experience +β3Age + ε, where Wage is the hourly wage rate and Education, Experience, and Age are the years of higher education, the years of experience, and the age of the worker, respectively. A portion of the regression results is shown in the following table. Coefficients Standard Error t Stat p-Value   Intercept 7.42          4.14           1.79           0.0797           Education 1.53          0.39          ...
Use the following linear regression equation to answer the questions. x1 = 1.1 + 3.0x2 –...
Use the following linear regression equation to answer the questions. x1 = 1.1 + 3.0x2 – 8.4x3 + 2.3x4 (a) Which variable is the response variable? x3 x1      x2 x4 Which variables are the explanatory variables? (Select all that apply.) x1 x2 x3 x4 (b) Which number is the constant term? List the coefficients with their corresponding explanatory variables. constant = x2 coefficient= x3 coefficient= x4 coefficient= (c) If x2 = 4, x3 = 10, and x4 = 6, what...
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT