Normal Probability PlottreponseVersus FtsResidualPed vale1. Find the regression equation(write the letter of the right answer (a,b.c.a. Final examination = -4.34 + 0.7222PrelimExamination + 1.3375MidtermExaminationb. Final examination = 4.37 + 0.0929PrelimExamination + 0.0987MidtermExaminationc. Final examination = -0.99 + 7.77PrelimExamination + 13.54MidtermExaminationd. Final examination = -5.36 + 0.631PrelimExamination + 1.438MidtermExaminationPercent Question 5The Collegue of Business and Economics wants to find the relationship between the final examination (Y) with thrandom sample of 25 students are taken and the data is analyzed using Minitab. The output is as follows:CoefficientsSE CoefT-ValueP-Value0.331VIFTermCoefConstant4.344.37-0.993.530,72221.3375X10.09297.77X20.098713.543.53Model SummaryR-sqR-sq(adj) R-sq(pred)3.0314698.41%98.18%Analysis of VarianceSourceRegressionX1Adj ss13672.8Adj MS6836.39DFF-ValueP-Value1.555.1555.1160.41X216861685.97183.46Er2022To.13875Normal Probability Plottresponse is Y

From the output, the regression equation is, Y=-4.34+0.7222X1+1.3375X2. Here, Y=final Examination…

Answered: -Find the regression equation. (write…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

Please write the solution thank you
8- Hi Great Bartleby Team, I need help with this stats exercise, it has 3 parts so please provide an answer for all the parts. Thanks in advance. (please pay attention to the image posted.
The data show the bug chirps per minute at different temperatures. Find the regression equation, letting the first variable be the independent (x) variable. Find the best-predicted temperature for a time when a bug is chirping at the rate of 3000chirps per minute. Use a significance level of 0.05. What is wrong with this predicted value? Chirps in 1 min 1004 952 1237 1116 1177 1249 Temperature (°F) 83.1 76 95.1 87.5 92.1 88.4 What is the regression equation? (^ over y)=_____+_____x (Round the x-coefficient to four decimal places as needed. Round the constant to two decimal places as needed.) What is the best-predicted temperature for a time when a bug is chirping at the rate of 3000chirps per minute? The best-predicted temperature when a bug is chirping at 3000 chirps per minute is ____°F. (Round to one decimal place as needed.) What is wrong with this predicted value? Choose the correct answer below. A. It is…
A regression analysis was performed to determine if there is a relationship between hours of TV watched per day (x) and number of sit ups a person can do (y). The results of the regression were: y=ax+ba=-1.114b=38.796r2=0.815409r=-0.903 Use this to predict the number of sit ups a person who watches 7 hours of TV can do, and please round your answer to a whole number.
Real estate again The regression of Price on Size ofhomes in Albuquerque had R2 = 71.4,, as describedin Exercise 25. Write a sentence (in context, of course)summarizing what the R2 says about this regression.
How does R treat those observations with missing values? In other words, what role do the observations with missing values play in the regression? No command is needed for this question. You must need to provide an answer or take a guess.
Write the linear model to test the hypothesis that there is no treatment effect. Clearly describe each term in the model, and the range of the subscripts. Write the null hypothesis that you are testing. Call: lm(formula = score ~ list, data = hearing) Residuals: Min 1Q Median 3Q Max -14.7500 -5.5833 -0.2083 6.3333 16.4167 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 32.750 1.612 20.315 < 2e-16 *** listList2 -3.083 2.280 -1.352 0.17955 listList3 -7.500 2.280 -3.290 0.00142 ** listList4 -7.167 2.280 -3.144 0.00225 ** --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 7.898 on 92 degrees of freedom Multiple R-squared: 0.1382, Adjusted R-squared: 0.1101 F-statistic: 4.919 on 3 and 92 DF, p-value: 0.00325
Attempt only if you can solve it correctly within 30-40 mins in clear handwriting I'll upvote your answer
Construct and interpret a 95% prediction interval for the proceeds when the number of issues is 602.

Recommended textbooks for you

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

Elementary Statistics: Picturing the World (7th E…

Statistics

ISBN:

9780134683416

Author:

Ron Larson, Betsy Farber

Publisher:

PEARSON

The Basic Practice of Statistics

Statistics

ISBN:

9781319042578

Author:

David S. Moore, William I. Notz, Michael A. Fligner

Publisher:

W. H. Freeman

Introduction to the Practice of Statistics

Statistics

ISBN:

9781319013387

Author:

David S. Moore, George P. McCabe, Bruce A. Craig

Publisher:

W. H. Freeman

SEE MORE TEXTBOOKS

-Find the regression equation. (write the letter of the right answer (a,b,c. Final examination -4.34 + 0.7222PrelimExamination +1.3375MidtermExamination