The following table shows regression analysis output between the experience (in years) and monthlysalaries (in RM thousands) of nine randomly selected secretaries. Answer the following questionsModel SummaryR SquareAdjusted RSquareStd. Error of theEstimateModelR0.928a. Predictors: (Constant), Experience in years10.8620.8425.916CoefficientsUnstandardizedStandardizedCoefficientsCoefficientsModelStd. ErrorBetaP-Value(Constant)Experience in yearsa. Dependent Variable: Monthly Salary125.5543.8286.6750.0012.4380.3690.9286.6040.001i. Comment on the strength and direction of the relationship between Monthly salary and Years ofexperience for the secretaries.ii. Determine the coefficient of determination and explain this value in relation to the problem.iii. At the 0.05 significance level is it reasonable to conclude that there is a significant relationship in thepopulation between Monthly salary and Years of experience.iv. What is the value of Y-intercept? Interpret the meaning of the Y- intercept, a for this problem.v. What is the value of the slope? Interpret the meaning of the slope, b for this problem.vi. Write the regression equation for this problem from the outputvii. Predict the Monthly salary if a secretary has Years of experience of 13 years.

Answered: Coefficients Unstandardized…

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

Match the description with its symbol. Question content area bottom Part 1 y m x,y b yi yi Drag each symbol given above to its corresponding description below. 7. The y-value of a data point corresponding to xi 8. The y-value for a point on the regression line corresponding to xi 9. Slope 10. y-intercept 11. The mean of the y-values 12. The point a regression line always passes through
Suppose you wish to determine the degree to which annual earnings of professional golfers (Earnings) are related to driving distance (Yards Per Drive). The driving distance shows how far a golfer can hit the ball after it hits the ground. You were given the Excel output below. If the image below is not clear, dowload a copy here. SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations ANOVA Regression Residual Total Intercept Yards Per Drive 0.216543528 0.046891099 0.042101608 1155621.367 201 df 1 199 200 $$ 1.30747E+13 2.65757E+14 2.78831E+14 Coefficients Standard Error -7,773,135.558 30,737.523 2,867,254.773 9,823.548 4 MS 1.30747E+13 1.33546E+12 O a. a $30,737.523 increase in annual earnings. O b. a $9,823.548 increase in annual earnings. O c. a $2,867,254.773 increase in annual earnings. O d. a $7,773,135.558 decrease in annual earnings. t Stat -2.711002745 3.128963403 Figure 4.1 F 9.790411975 P-value 0.007294364 0.00201776…
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
Explain these tables to me in detail
ALPHA = 0.05 Shift 1 2 3 Machine A 10 7 9 B 10 7 6 C 8 8 6 D 12 7 10 E 8 7 7 F 9 6 10 G 9 9 11 H 9 6 9 Often frequency data are tabulated according to two categories to decide if there is a relationship between categories and counts. Machine shop high tech errors are tabulated by shift and machine with significance level a. Are the machines and shifts operating consistently? Perform appropriate test.
Need help with finding Ho: and H1: u1=mean age of patients who do NOT develop SSI u2= mean age of patients who do develop SSI Use a significance level of a=0.05
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. It is calculated based on the distance between the observed data point and the predicted value.
longley is a built-in R data.frame which is sometimes used in economics to study regression. We are interested in some descriptive statistics related to the Employed column of the longley data.frame. We can access this data directly by using the assignment x <- longley$Employed (In R, use ? Longley for info on this data) The values of x if assigned as above are: [1] 60.323, 61.122, 60.171, 61.187, 63.221, 63.639, 64.989, 63.761 [9] 66.019, 67.857, 68.169, 66.513, 68.655, 69.564, 69.331, 70.551 You should get these values from the R assignment above rather than manually entering the data. b. Calculate the 3rd quartile of x using the R summary function c. Calculate the sample range & median of x h. What proportion of the x values are less than 1 sample standard deviation from the sample mean? k. How many of the elements of x are smaller than the sample mean of x?
first picture is background information
Gerardo is investigating how long his phone's battery lasts (in hours) for various brightness levels (on a scale of 0-100). His data is displayed in the table and graph below. Hours 10+ 9 8 7 6 3 2 1 Brightness Level (x) 16 Hours (y) 10 20 30 37 31 6.7 5.8 5.2 Submit Question -1 What is the residual for the point (58,7.1)? hours Rejected Questions 40 50 Brightness Level 37 4 60 70 44 5.9 80 58 7.1 77 5.1 99 4.2 90 100 110 Math Statistics
9.2.20-T Question Help The accompanying data are the number of wins and the earned run averages (mean number of earned runs allowed per nine innings pitched) for eight baseball pitchers in a recent season. Find the equation of the regression line. Then construct a scatter plot of the data and draw the regression line. Then use the regression equation to predict the value of y for each of the given x-values, if meaningful. If the x-value is not meaningful to predict the value of y, explain why not. (a) x=5 wins (b) x=10 wins (c) x=21 wins (d) x=15 wins 9.2.20-T Question Help
Match each assumption on the left with the corresponding plot used to check it. Normally Distributed Residuals Linear Relationship between X and Y variables Constant variability of residuals Mean of the residuals is zero Q-Q Plot Studentized Residual Plot Profile Plot of Means Histogram Boxplot Scatterplot Q-Q Plot

SEE MORE QUESTIONS

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