Question

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 −27.

  yˆy^

Homework Answers

Answer #1

(a) = 407 - 21x, which is of the form = a + bx, where a is the y intercept, and b is the slope of the line.

Here the slope is negative, which means that as x increases, y will decrease (and vice versa in the opposite direction).

when x = 1, = 407 - (21 * 1) = 386

when x = 2, = 407 - (21 * 2) = 365

We see that as x increased by 1, decreased by 386 - 365 = 21

Therefore Option 1: As x increases by 1 unit, y is predicted to decrease by 21 units.

_____________________________________________________

(b) When x = -27, = 407 - (21 * -27) = 407 + 567

Therefore = 974

___________________________________________________

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 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....
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...
Given a simple regression analysis, suppose that we have obtained the fitted regression model: yˆ =...
Given a simple regression analysis, suppose that we have obtained the fitted regression model: yˆ = 6 + 8x and also the following statistics , ? = 3.20, ?̅ = 8, n = 42, and ii# Find the 95% confidence interval for the point where x =18. Interpret the result. å i=1 (x - x )2 =420 I
In the simple linear regression model estimate Y = b0 + b1X A. Y - estimated...
In the simple linear regression model estimate Y = b0 + b1X A. Y - estimated average predicted value, X – predictor, Y-intercept (b1), slope (b0) B. Y - estimated average predicted value, X – predictor, Y-intercept (b0), slope (b1) C. X - estimated average predicted value, Y – predictor, Y-intercept (b1), slope (b0) D. X - estimated average predicted value, Y – predictor, Y-intercept (b0), slope (b1) The slope (b1) represents A. the estimated average change in Y per...
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...
Following is a simple linear regression model: The following results were obtained from some statistical software....
Following is a simple linear regression model: The following results were obtained from some statistical software. R2 = 0.523 syx (regression standard error) = 3.028 n (total observations) = 41 Significance level = 0.05 = 5% Variable Parameter Estimate    Std. Error of Parameter Est. Intercept 0.519    0.132 Slope of X    -0.707 0.239 Questions: the correlation coefficient r between the x and y is? What is the meaning of R2? Show your work.
Consider the following sample regression equation yˆy^ = 240 + 10x, where y is the supply...
Consider the following sample regression equation yˆy^ = 240 + 10x, where y is the supply for Product A (in 1,000s) and x is the price of Product A (in $). If the price of Product A increases by $3, then we expect the supply for Product A to ________. a) increase by 30 b) decrease by 30 c) increase by 30,000 d) decrease by 30,000
1, X Y 12 7 a. Find the regression equation. 9 4 b. Interpret the meaning...
1, X Y 12 7 a. Find the regression equation. 9 4 b. Interpret the meaning of the Y intercept bo 13 5 c. Interpret the meaning of the slope b1. 5 3 d. Predict the average value of Y for X = 6   2, Fitting a straight line to a set of data yields the following regression equation a. Find and interpret the meaning of the Y intercept b0. b. Find and interpret the meaning of the slope b1....
Here is the "theoretical" regression equation: yi = β0 + β1xi + εi 1. Select the...
Here is the "theoretical" regression equation: yi = β0 + β1xi + εi 1. Select the appropriate name for each component of the equation. yi:  ---Select--- The linear correlation coefficient The population intercept The estimated intercept The population slope The estimated slope The LOBF The "random error" term The predictor variable The response variable The confounding variable The sampling bias β0:  ---Select--- The linear correlation coefficient The population intercept The estimated intercept The population slope The estimated slope The LOBF The "random...
1. A linear regression has the following equation: y = -9x + 2. How much would...
1. A linear regression has the following equation: y = -9x + 2. How much would y change by, if x increases by 4? Answer with a positive number if y increases, and a negative number if y decreases. 2.A linear regression has the following equation: y = -0.52x + 10, with a coefficient of determination R2 = 0.64. What is the correlation coefficient, rounded to two decimal places? 3. A linear regression has the following equation: y = -0.36x...
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT