Sample Regression Questioins

1 ? Please do not print this unless you unfeignedly exact to. Question 1 The personnel coach of a manufacturing high society has collected the following data on the Salary earn by for each one machinist in the factory along with the modal(a) performance military rank over the other(prenominal) 3 years, the years of service and the number of different machines each employee is conscious to operate. Avg long time Performance of S. No. Salary place servicing Certifications 1 48.20 3.50 9 6 2 55.30 5.30 20 6 3 53.70 5.10 18 7 4 61.80 5.80 33 7 5 56.40 4.20 31 8 6 52.50 6.00 13 6 7 54.00 6.80 25 6 8 55.70 5.50 30 4 9 45.10 3.10 5 6 10 67.90 7.20 47 8 11 53.20 4.50 25 5 12 46.80 4.90 11 6 13 58.30 8.00 23 8 14 59.10 6.50 35 7 15 57.80 6.60 39 5 16 48.60 3.70 21 4 17 49.20 6.20 7 6 18 63.00 7.00 40 7 19 53.00 4.00 35 6 20 50.90 4.50 23 4 21 55.40 5.90 33 5 22 51.80 5.60 27 4 23 60.20 4.80 34 8 24 50.10 3.90 15 5 Sum 1308.00 128.60 599.00 average 54.50 5.36 24.96 6.00 stdev 5 .47 1.29 11.22 1.32 Covariance(Y,X(i)) 4.52 50.55 3.86 ?( profits(i) - 54.50) = 689.26 2 The personnel director would like to take a regression vex to visualise the average salary an employee should expect to receive. a) If the regression beat is to be built utilise only one self-sufficing uncertain, which variable should be utilize? Explain why.

b) What is the proportion of variation in salary that tolerate be explained by this variable? c) A regression model using average performance rating is fitted to the data. Given that the stop over for the model is 39.35, the slope is 2.83 and the R square value is 0.445, counter the salary range for an employee with 12 years of service, who has received average reviews o! f 4.5, and is certified to operate 4 pieces of machinery? d) A regression model (Model 1) is built using Certifications and Years of Service as the independent variables. The Summary make and residuum Output are stipulation below. Complete the Summary Output by filling in ALL the missing entries. summary OUTPUT Regression Statistics...If you urgency to get a dear essay, order it on our website: OrderEssay.net

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