ph/mod/quiz/attempt.php?attempt3932918&lcmid%3D166208page%3D27University53The following excel printout provides information to estimate overhead costs using linear regression:Upper 95%9289.886978.27042244897.78142936.5701299Standard Error t StatP-valueLower 95%Coefficients6035.9870271411.054644.2776420.0026962782.0871InterceptDLHut of4.5584826981.6096837312.8319120.0220850.846543# setups771.102893854.9341831714.036856.44E-07644.4243629.94111242.87467534210.415486.26E-0623.312095# movesestionRegression StatisticsMultiple RR SquareAdjusted R SquareStandard ErrorObservations0.9965844120.993180490.990623174347.956359712a. Write the multiple regression model (round to nearest cent).Answer:54b. What is the estimate of overhead if the department has 1,205 DLH, 55 setups and 125 moves?Answer:out ofquestion

Solution: (a). Write the multiple regression model: A multiple regression equation describes the…

The following excel printout provides information to estimate overhead costs using linear regression: Standard Error t Stat Р-value Lower 95% Upper 95% Coefficients 6035.987027 1411.05464 4.277642 0.002696 2782.0871 9289.88697 Intercept DLH 4.558482698 1.609683731 2.831912 0.022085 0.846543 8.27042244 6.44E-07 6.26E-06 897.781429 36.5701299 644.42436 14.03685 10.41548 # setups 771.1028938 54.93418317 # moves 29.9411124 2.874675342 23.312095 Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations 0.996584412 0.99318049 0.990623174 347.9563597 12 a. Write the multiple regression model (round to nearest cent). Answer: b. What is the estimate of overhead if the department has 1,205 DLH, 55 setups and 125 moves? Answer:

The following excel printout provides information to estimate overhead costs using linear regression: Standard Error t Stat Р-value Lower 95% Upper 95% Coefficients 6035.987027 1411.05464 4.277642 0.002696 2782.0871 9289.88697 Intercept DLH 4.558482698 1.609683731 2.831912 0.022085 0.846543 8.27042244 6.44E-07 6.26E-06 897.781429 36.5701299 644.42436 14.03685 10.41548 # setups 771.1028938 54.93418317 # moves 29.9411124 2.874675342 23.312095 Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations 0.996584412 0.99318049 0.990623174 347.9563597 12 a. Write the multiple regression model (round to nearest cent). Answer: b. What is the estimate of overhead if the department has 1,205 DLH, 55 setups and 125 moves? Answer:

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

Listed below are systolic blood pressure measurements (in mm Hg) obtained from the same woman. Find the regression equation, letting the right arm blood pressure be the predictor (x) variable. Find the best predicted systolic blood pressure in the left arm given that the systolic blood pressure in the right arm is 85 mm Hg. Use a significance level of 0.05. Right Arm 100 99 91 76 76 5 Left Arm 175 170 146 147 146 Click the icon to view the critical values of the Pearson correlation coefficient r The regression equation is y = +x (Round to one decimal place as needed.) Given that the systolic blood pressure in the right arm is 85 mm Hg, the best predicted systolic blood pressure in the left arm is mm Hg. (Round to one decimal place as needed.)
Use the Stata output below. The data comes from students in an undergraduate economics course. The regression of interest is: final =B₁ + B₁ atndrte + B₂hwrte + Â¸priGPA+ Â¹ ACT reg final atndrte hwrte priGPA ACT Source Model 3094.70776 Residual 11929.9465 SS Total 15024.6543 final atndrte hwrte priGPA ACT _cons df MS 773.676939 4 669 17.832506 673 22.324895 Coef. Std. Err. Number of obs F(4, 669) Prob > F R-squared Adj R-squared Root MSE t P>|t| .0138725 .0183476 .010863 1.906347 .3750236 .3990516 .0535332 1.46863 9.225908 Construct a 95% confidence interval about 33. The lower bound is |||||||||||| 674 [95% Conf. Interval]
In simple linear regression if the standard error (s) = 21 then the mean square due to error is: %3D Select one: Oa. 4.58 O b. 21.00 OC. 42.00 od. 441.00
Suppose the estimaited OLS regression is: Happiness = a + b*dailychocolates Now use chocolate consumprion per week instead of days. What is the relationship between the old and new units? How would this affect b (i.e. what is bnew in terms of b)?
A researcher interested in explaining the level of foreign reserves for the country of Barbados estimated the following multiple regression model using yearly data spanning the period 2001 to 2016: FR=a+B01L+YEXP+8FDI Where FR = yearly foreign reserves (So000's), OIL = annual oil prices, EXP = yearly total exports (S000's) and FDI = annual foreign direct investment ($000's). The sample of data was processed using MINITAB and the following is an extract of the output obtained: Predictor Coef StDev t-ratio p-value Constant 5491.38 2508.81 2.1888 0.0491 OIL 85.39 18.46 4.626 0.0006 EXP -377.08 112.19 0.0057 FDI -396.99 160.66 -2.471 s - 2.45 R-sq = 96.3% R-sq(adj) = 95.3% Analysis of Variance Source DF MS F Regression 3 1991.31 663.77 ?? Error 12 43. רר 6.45 Total 15 a) What is dependent and independent variables? b) Fully write out the regression equation c) Fill in the missing values **', **', '?'and *??"
Define the assumptions of multiple regression and specify which aspects of the analysis require assumptions?
A researcher records age in years (x) and systolic blood pressure (y) for volunteers. They perform a regression analysis was performed, and a portion of the computer output is as follows: ŷ = 4.3 14.9x Coefficients (Intercept) X Estimate St 4.3 Ho: B₁ = 0 Ha: B₁ > 0 B1 O Ho: B₁ Ha: B₁ <0 = 0 14.9 B1 O Ho: B₁ = 0 0 Ha: B1 Std. Error Test statistic P-value 2.9 5.1 1.48 Specify the null and the alternative hypotheses that you would use in order to test whether a negative linear relationship exists between x and y. 2.92 0.08 0.01
A researcher interested in explaining the level of foreign reserves for the country of Barbados estimated the following multiple regression model using yearly data spanning the period 2001 to 2016: FR=a+BOIL+yEXP+8FDI Where FR = yearly foreign reserves ($000's), OIL = annual oil prices, EXP = yearly total exports ($000's) and FDI = annual foreign direct investment ($000's). The sample of data was processed using MINITAB and the following is an extract of the output obtained: Predictor Сoef StDev t-ratio p-value Constant 5491.38 2508.81 2.1888 0.0491 OIL 85.39 18.46 4.626 0.0006 EXP -377.08 112.19 0.0057 FDI -396.99 160.66 -2.471 ** S = 2.45 R-sq 96.3% R-sq (adj) 95.3% Analysis of Variance Source DF MS F Regression 1991.31 663.77 ?? Error 12 77.4 6.45 Total 15 a) What is dependent and independent variables? b) Fully write out the regression equation c) Fill in the missing values *', ***', '?'and ??' d) Hence test whether B is significant. Give reasons for your answer. e) Perform the F…
If a scatterplot is created in excel, and a line of regression is fit along with a derived functional form, what does it mean to describe and interpret them? What conclusions would be made about relationships between two recorded variables?
A researcher has developed a regression model from fourteen pairs of data points. He wants to test to determine if the slope is significantly different from zero. He uses a two-tailed test and a = 0.01. The critical tablet value is 2.718 3.012 2.650 O 3.055 O 2.168
Listed below are systolic blood pressure measurements (in mm Hg) obtained from the same woman. Find the regression equation, letting the right arm blood pressure be the predictor (x) variable Find the best predicted systolic blood pressure in the left arm given that the systolic blood pressure in the right arm is 95 mm Hg. Use a significance level of 0.05 Right Arm 103 102 94 79 80 D Left Arm 176 170 144 146 145 : Click the icon to view the critical values of the Pearson correlation coefficient r The regression equation is y= +x (Round to one decimal place as needed.) ater/ Enter your ahswer in the edit fields and then click Check Answer
Listed below are systolic blood pressure measurements (in mm Hg) obtained from the same woman. Find the regression equation, letting the right am blood pressure be the predictor (x) variable. Find the best predicted systolic blood pressure in the left arm given that the systolic blood pressure in the right arm is 100 mm Hg Use a significance level of 0.05. Right Arm 103 102 95 78 Left Arm 175 169 147 146 144 m Click the icon to view the critical values of the Pearson correlation coetticient r The regression oquation is y =+O (Round to one decimal place as needed) Given that the systolic blood pressure in the right arm is 100 mm Hg, the best predicted systolic blood pressure in the left arm is mm Hg (Round to one decimal place as needed.)