The following estimated regression equation is based on 30 observations.The values of SST and SSR are 1,802 and 1,760, respectively.a. Compute R2 (to 3 decimals).0.976b. Compute R (to 3 decimals).*0.990c. Comment on the goodness of fit.The estimated regression equation provided an excellent fitHide FeedbackPartially Correct0 Icon KeyExercise 15.13 Algo (Multiple Coefficient of Determination)momII6W&7Sŷ 17.6+3.7x1 -2.4x2 + 7.3x3 +2.5x4

Answered: The following estimated regression…

A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

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Using 23 observations on each variable, a computer program generated the following multiple regression model. y = 65.5 +9.56x1+3.27x2-4.23x3– 9.23x4 If the standard errors of the coefficients of the independent variables are, respectively, 3.44, 2.30, 2.76, and 4.99, can you conclude that the independent variable x, is needed in the regression model? Let B1, B2, Ba denote the coefficients of the 4 variables in this model, and use a two-sided hypothesis test and significance level of 0.10 to determine your 4 .../ answer. (a) State the null hypothesis H, and the alternative hypothesis H,. H, : 0 H, : 0 (b) Determine the type of test statistic to use. Degrees of freedom: D=0 OSO (c) Find the value of the test statistic. (Round to two or more decimal places.) O#0 OO (d) Find the two critical values at the 0.10 level of significance. (Round to two or more decimal places.) | and || (e) Can you conclude that the independent variable is needed in the regression model? Yes No 미
The following estimated regression equation is based on 30 observations. ŷ = 17.7+3.8x1 2.4x2 + 7.5a3 +2.8x4 |- The values of SsST and SSR are 1,803 and 1,763, respectively. a. Compute R (to 3 decimals). b. Compute R (to 3 decimals). c. Comment on the goodness of fit. The estimated regression equation Select your answer - Hint 0-Icon Key
I need help with the test statistic only. Thanks.
consider the following points (1.3,2.4) (2.5,2.4) (3.3,2) (4.2,1.8) (5.1,1.6) find the equation of the regression line (round the values 2 decimal placed.
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
The following estimated regression equation is based on 30 observations. The values of SST and SSR are 1,803 and 1,761, respectively. a. Compute R² (to 3 decimals). b. Compute R² (to 3 decimals). c. Comment on the goodness of fit. The estimated regression equatio ✔ - Select your answer - provided an excellent fit provided a moderately good fit did not provide a good fit ŷ = 17.5 + 4x1 - 2.5x2 +7.7x3 +2.5x4
An automobile rental company wants to predict the yearly maintenance expense (Y) for an automobile using the number of miles driven during the year () and the age of the car (, in years) at the beginning of the year. The company has gathered the data on 10 automobiles and run a regression analysis with the results shown below:. Summary measures Multiple R 0.9689 R-Square 0.9387 Adj R-Square 0.9212 StErr of Estimate 72.218 Regression coefficients Coefficient Std Err t-value p-value Constant 33.796 48.181 0.7014 0.5057 Miles Driven 0.0549 0.0191 2.8666 0.0241 Age of car 21.467 20.573 1.0434 0.3314 Use the information above to estimate the annual maintenance expense for a 10 years old car with 60,000 miles.

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