c. What is the number 0.286 called?O Regression coefficientO Coefficient of determinationO HomoscedasticityO Multicollinearityd. As age increases by one year, how much does estimated performance on the new machine increase? (Round your answer to 3decimal places.)The estimated performane increases bye. Carl Knox applied for a job at Photo Works. He has been in the business for 6 years and scored 280 on the mechanical aptitudetest. Carl's prior on-the-job performance rating is 97, and he is(Round your answer to 3 decimal places.)years old. Estimate Carl's performance on the new machine.Estimated performane Thompson Photo Works purchased several new, highly sophisticated processing machines. The production department needed someguidance with respect to qualifications needed by an operator. Is age a factor? Is the length of service as an operator (in years)important? In order to explore further the factors needed to estimate performance on the new processing machines, four variableswere listed:X1 = Length of time an employee was in the industryX2 = Mechanical aptitude test scoreX3 = Prior on-the-job ratingX4 = AgePerformance on the new machine is designated y.Thirty employees were selected at random. Data were collected for each, and their performances on the new machines wererecorded. A few results are:Length of Time inIndustry,Performance on NewMechanical AptitudePrior On-the-JobMachine,Score,Performance,Age,NameX1X2X3X4y112Mike MiragliaSue Trythall1231212152113238012327The equation is:ý = 11.6 + 0.4x1 + 0.286x2 + 0.112x3 + 0.002x4a. What is this equation called?O Multiple regression equationO Multiple standard error of estimateO Coefficient of determinationb. How many dependent and independent variables are there?dependent,independent.

Qa) Multiple regression y = β0+β1x1+---+βnxn

c. What is the number 0.286 called? O Regression coefficient O Coefficient of determination O Homoscedasticity O Multicollinearity d. As age increases by one year, how much does estimated performance on the new machine increase? (Round your answer to 3 decimal places.) The estimated performane increases by e. Carl Knox applied for a job at Photo Works. He has been in the business for 6 years and scored 280 on the mechanical aptitude test. Carl's prior on-the-job performance rating is 97, and he is 35 years old. Estimate Carl's performance on the new machine. (Round your answer to 3 decimal places.) Estimated performane

c. What is the number 0.286 called? O Regression coefficient O Coefficient of determination O Homoscedasticity O Multicollinearity d. As age increases by one year, how much does estimated performance on the new machine increase? (Round your answer to 3 decimal places.) The estimated performane increases by e. Carl Knox applied for a job at Photo Works. He has been in the business for 6 years and scored 280 on the mechanical aptitude test. Carl's prior on-the-job performance rating is 97, and he is 35 years old. Estimate Carl's performance on the new machine. (Round your answer to 3 decimal places.) Estimated performane

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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The OLS estimator is derived by A. making sure that the standard error of the regression equals the standard error of the coefficient estimator. B. minimizing the sum of squared regression. C. minimizing the sum of squared error. D. connecting the Y; corresponding to the lowest X; observation with the Y; corresponding to the highest X; observation. Decat Celoction O O
Heip A regression of average weekly earnings (AWE, measured in dollars) on age (measured in years) using a random sample of college-educated full-time workers aged 25-65 yields the following: AWE = 647.9310 +8.9280 × Age, R2 = 0.021, SER=580.4. The coefficient shows the marginal effect of Age on AWE; that is, AWE is expected to increase by $ for each additional year of age. is the intercept of the regression line. It determines the overall level of the line. (Round your responses to four decimal places.) The standard error of the regression (SER) is 580.4. What are the units of measurement for the SER? O A. Dollars. O B. Dollars per year. C. Unit-free. O D. Dollars per week. The regression R is 0.021. What are the units of measurement for the R2? O A. Dollars per year. O B. Dollars. Click to select your answer(s). W 0正 e to search
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Using the previous regression model, what salary would you expect a student with a 3.1 GPA to expect? Round your answer to 1 decimal and express in $1,000's (same format the Salary variable has in the Excel dataset).
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Run a regression analysis on the following data set, where y is the final grade in a math class and x is the average number of hours the student spent working on math each week. hours/week Grade y 8. 72.2 8. 58.2 10 60 11 71.4 14 92.6 14 76.6 14 75.6 14 83.6 15 81 20 100 State the regression equation with constants accurate to 2 decimal places. ý = What is the predicted value for the final grade when a student spends an average of 15 hours each week on math? Round to 2 decimal places. Question Help: D Video 1 Video 2 Submit Question
Question. Using the following regression result, make your answers to the questions. Call: Im(formula - wage - educ, data - data) Residuals: 10 Median -5.1579 -2.5066 0.3816 2.4539 4.4737 Min 30 Max Coefficients: Estimate Std. Error t value Pr(>1tl) (Intercept) 9.0526 educ 5.1420 1.761 0.11635 2.1842 0.5994 3.644 0.00655 ** --- Signif. codes: 0 ***** 0.001 *** 0.01 ** 0.05 . 0.1' 1 Residual standard error: 3.305 on 8 degrees of freedom Multiple R-squared: 0.6241, F-statistic: 13.28 on 1 and 8 DF, p-value: 0.006549 Adjusted R-squared: 0.5771 1) Using the estimate and standard error of educ variable, perform the following hypothesis test. Ho:Beduc = 0 H1: Beduc # 0 2) Interpret the above hypothesis test result.
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Using the previous regression model, what salary would you expect a 23 year old male student with a 3.5 GPA to expect? Round your answer to 1 decimal and express in $1,000's (same format the Salary variable has in the Excel dataset, so $50,000 would be 50.0).
Using the data in the Excel spreadsheet "auto.xlsx", estimate a regression to answer the following question. A 1 inch increase in LENGTH corresponds to a _________________ increase in MPG (miles per gallon). Use negative values if it results in a decreased price. Round your answers to two decimals. make price mpg rep78 headroom trunk weight length turn displacement gear_ratio foreign AMC Concord 4,099 22 3 3 11 2,930 186 40 121 3.58 Domestic AMC Pacer 4,749 17 3 3 11 3,350 173 40 258 2.53 Domestic AMC Spirit 3,799 22 3 12 2,640 168 35 121 3.08 Domestic Buick Century 4,816 20 3 5 16 3,250 196 40 196 2.93 Domestic Buick Electra 7,827 15 4 4 20 4,080 222 43 350 2.41 Domestic Buick LeSabre 5,788 18 3 4 21 3,670 218 43 231 2.73 Domestic Buick Opel 4,453 26 3 10 2,230 170 34 304 2.87 Domestic Buick Regal 5,189 20 3 2 16 3,280 200 42 196 2.93 Domestic Buick Riviera 10,372 16 3 4 17 3,880 207 43 231 2.93 Domestic Buick Skylark 4,082 19 3 4 13 3,400 200 42 231…