Which of the following is TRUE about W?ANOVARegressionWTotaldf SS1892335MS140.1Fp-value0.0186The smaller the value of SS for W, the smaller the coefficient ofdetermination.It is calculated based on the distance between the observed data point andthe predicted value.

Anova is the inferential method. Here we compare more than three groups means. It is the extension…

Answered: Which of the following is TRUE about W?…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Consider the following table: Source SS DF MS Test Statistic Regression 6 745.77 Error 788.51 Total 12359.72 16 How much of the variation in the dependent variable is explained by the regression? Round your answer to two decimal places, if necessary.
You may need to use the appropriate technology to answer this question. Following is a portion of the computer output for a regression analysis relating y = maintenance expense (dollars per month) to x = usage (hours per week) of a particular brand of computer terminal. Analysis of Variance SOURCE DF Adj SS Adj MS Regression 1 1575.76 1575.76 Error 8 349.14 43.64 Total 9 1924.90 Predictor Coef SE Coef Constant 6.1092 0.9361 X 0.8951 0.1490 Regression Equation Y = 6.1092 + 0.8951 X #1) Write the estimated regression equation. ŷ = #2) Find the value of the test statistic. (Round your answer to two decimal places.)Find the p-value. (Round your answer to three decimal places.) #3)Use the estimated regression equation to predict monthly maintenance expense (in dollars per month) for any terminal that is used 15 hoursper week. (Round your answer to the nearest cent.) $ _____per month
Listed below is the multiple regression equation for predicting Y by X₁ through Xs. Y is the number of sales per month. X₁ is the number of sales calls made X2 is the number of hours on the showroom floor X3 is the amount spent on radio ads X is the number of text messages sent Xs is the number of email messages sent Regression Statistics R Square 0.634 Standard Error 7.6796 Observations 45 Intercept X₁ X₂ X3 XA Xs Coefficients Standard Error 6.8163 0.1005 -0.3207 0.2084 0.1221 0.0943 77.1211 1.9439 -11.123 0.1144 11.34 1.23 What is the computed value of the F statistic you would use to test the significance of the entire model? Round your answer to two decimal places.
Use the value of the linear correlation coefficient to calculate the coefficient of determination. What does this tell you about the explained variation of the data about the regression line? About the unexplained variation? r = 0.444 Calculate the coefficient of determination. (Round to three decimal places as needed.)
Q) Plot the relationship between total operating costs and machine hours. Draw the regression line.
5. For the following set of data: Y 1 10 5 4 4 13 a. Find the regression equation for predicting Y from X. b. Does the regression equation account for a significant portion of the variance in the Y scores? Use a = .05 to evaluate the F-ratio %3D X27 33
The following regression model was fitted to sample data with 12 observations: = 30 +4.50x. What is the residual for an observation (x = 2, y = 40)? 0.50 -1 1 -0.50
Data for 34 results are given below: Source SS Regression Residual Total 2,306,075.92 1,217,176.18 3,823,252.10 ABC df 1 32 33 MS 2,306,075.92 47,411.76 Based on the results what do you conclude and why using a = .05? F
hi need the answer for this question tq
3. Regression analysis breaks scores on the DV into... (explain and give equations)
Below is the output from regression. Use the p-value and decide if the equation is good to use for forecasting.

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Which of the following is TRUE about W? ANOVA Regression W Total df SS 1 8 9 2335 MS 140.1 F p-value 0.0186 The smaller the value of SS for W, the smaller the coefficient of determination. O b. It is calculated based on the distance between the observed data point and the predicted value.