Question

In: Operations Management

What is the Regression Equation (i.e., what are the values of a and b)?

What is the Regression Equation (i.e., what are the values of a and b)? What is the forecast value for November? What is the Standard Error of the Estimate?

Regression (Least Square Linear Regression) Y=a+bt b= 2-nt Period 1 January 2 February 3 March 4 April 5 May 300 400 200 600 400

 

 

Solutions

Expert Solution

While the formula for calculating a and b are provided, we will calculate them straightway by using standard formula in excel.

For that, we place given values of t and y in 2 different columns in excel and apply the formula LINEST ( ) to obtain values of a and b . Accordingly , relevant values are :

A = 260

B= 40

Therefore , y = 260 + 40.t

REGRESSION EQUATION : Y = 260 + 40.t

To determine value for November , we put value of t = 11 . Accordingly relevant value of Y as follows :

Y = 260 + 40 x 11 = 260 + 440 = 700

FORECAST VALUE FOR NOVEMBER = 700

Standard error of the estimate = Square root ( sum of all ( Forecast value of y – Actual value of y)^2/ number of observations)

Number of observations = Number of periods = 5

Following table presents the calculations accordingly :

Period

Y - actual

Y - Forecast

(Y-forecast – Y-actual)^2

January

300

300

0

February

400

340

3600

March

200

380

32400

April

600

420

32400

May

400

460

3600

Sum =

72000

Therefore , standard error of the estimate = square root ( 72000/5) = Square root ( 14400) = 120

STANDARD ERROR OF THE ESTIMATE = 120


Related Solutions

a. Estimate the regression equation and determine the predicted values of y b. Use the predicted...
a. Estimate the regression equation and determine the predicted values of y b. Use the predicted values and the actual values of y to calculate the residuals c. Plot the residuals (vertical axis) against the predicted values (horizontal axis). d. Does it appear that heteroscedasticity is a problem? Explain e. Draw a histogram of the residuals. Does it appear that the errors are normally distributed? Explain. f. Use the residuals to identify possible outlier(s) Weight Price 27 12.02 28.5 12.04...
What determines how well a regression equation will predict values of the y-variable from known values...
What determines how well a regression equation will predict values of the y-variable from known values of the x-variable? (A) What values or points make-up the regression line? (B) What two points are always found on the regression line? (Hint: These two points can be used to quickly draw the regression line) Explain why the regression line the “best fitting” line that can be plotted through the points in a scatter diagram? Describe how predicted y-values plotted near the point...
Curve Fitting and Linear Regression a) Determine the linear regression equation for the measured values in...
Curve Fitting and Linear Regression a) Determine the linear regression equation for the measured values in the table above. ?? 1 2 3 4 Value 1 (????) 0 3 7 10 Value 2 (????) 2 4 9 11 b) Plot the points and the linear regression curve. c) Determine the Linear Correlation Coefficient (i.e., Pearson’s r) for the dataset in the table above.
a) State the Multiple Regression Equation. b) Interpret the meaning of the slopes of this equation...
a) State the Multiple Regression Equation. b) Interpret the meaning of the slopes of this equation c)Predict the gasoline mileage for an automobile that has a length of 195 inches and a weight of 3000 pounds. e)Is there a significant relationship between the gasoline mileage and the two independent variables (Length and weight) at the 0.05 level of significance? g) Interpret the meaning of the coefficient of multiple determination in this problem i) At the 0.05 level of significance, determine...
1. Please write out the basic (i.e., single-predictor) regression equation. Y=... 2. If the unstandardized regression...
1. Please write out the basic (i.e., single-predictor) regression equation. Y=... 2. If the unstandardized regression coefficient (the slope of y on x) in a basic, single-predictor regression was found to be b_yx=-0.40, what is the interpretation of "b_yx=-0.40"? 3. If the regression constant (the y intercept) in a basic, single-predictor regression was found to be a=0.80, what is the interpretation of "a=0.80"?
a. Develop the estimated regression equation by using the formula for computing the values for bo...
a. Develop the estimated regression equation by using the formula for computing the values for bo and b1. “ SHOW YOUR WORK” means WRITE the formula and create the columns as needed below follow the steps through. If you need more space below, create them by pressing ENTER b. Compute SSE, SST, and SSR using only Computing formulas. c. Compute the coefficient of determination r (The same as R ). Comment on the goodness of fit (That is, what does...
a. Develop the estimated regression equation by using the formula for computing the values for bo...
a. Develop the estimated regression equation by using the formula for computing the values for bo and b1. “ SHOW YOUR WORK” means WRITE the formula and create the columns as needed below follow the steps through. If you need more space below, create them by pressing ENTER b. Compute SSE, SST, and SSR using only Computing formulas. c. Compute the coefficient of determination r (The same as R ). Comment on the goodness of fit (That is, what does...
Find the equation of the regression line for the given data. Round values to the nearest...
Find the equation of the regression line for the given data. Round values to the nearest thousandth. x=-5,-3,4,1,-1,-2,0,2,3,-4 y=11,-6,8,-3,-2,1,5,-5,6,7 OPTIONS = 0.206x - 2.097 = -2.097x + 0.206 = 2.097x - 0.206 = -0.206x + 2.097
Find the equation of the regression line by letting Row 1 represent the x- values and...
Find the equation of the regression line by letting Row 1 represent the x- values and Row 2 represent the y- values. Now find the equation of the regression line letting Row 2 represent the x- values and Row 1 represent the y- values. What effect does switching the explanatory and responsive variables have on the regression line? Row 1: -5 -3 4 1 -1 -2 0 2 3 -4 Row 2: -10 -8 9 1 -2 -6 -1 3...
What is probability, what can it values be, and what those values can mean (i.e. unusual,...
What is probability, what can it values be, and what those values can mean (i.e. unusual, rare, likely, impossible, certain, uncertain). Also, what are the differences between empirical probability and theoretical probability. Next what is the addition rule and the multiplication rule. How can you tell the difference between them and when to use them? Also, what do the terms mutually exclusive/disjoint and independence and dependence events mean? How do they differ?
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT