Draw a scattergram of data

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Reference no: EM131305603

Linear Regression and the "fitting-line"

Exercise 1: The following table shows how many weeks six persons have worked at an automobile inspection station and the number of cars each one inspected between 3 p.m. and 5 p.m. on a given day:

Number of weeks employed

Number of cars inspected

5

15

2

13

9

23

7

21

12

21

1

14

(a) Given that, ∑x = 36; ∑y = 107; ∑x2 = 304; ∑xy = 721. Use the computing formulas to find a and b, and hence the equation of the least-squares line.

(b) Draw a scattergram of this data; then draw the straight line computed here above.

Correlation Analysis and "goodness of fit"

Exercise 3: The following data show the average number of hours that a sample of 6 MBA students spent on homework per week and their grade-point indexes for the courses they took in that semester: Calculate r.

Hours scent on homework x

Grade-point index y

15

2.0

28

2.7

13

1.3

20

1.9

4

0.9

10

1.7

Exercise 6: Give examples when you expect a positive correlation, negative correlation or no correlation.

Attachment:- Assignment.rar

Reference no: EM131305603

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len1305603

12/8/2016 7:36:35 AM

Exercise 1, 3 and 6 needs to be done only, 3 exercises which should be solved. Straight forward, as there are examples in the attached pdf for guideline. Give examples when you expect a positive correlation, negative correlation or no correlation.

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