Course: Statistics - Lineal Regression A company dedicated to sale of services wants to carry out a study on impact of use of web during working hours. Age (years) Worker's services Labor (years) Web time connected (weekly) Monthly salary (Thousands of $) 22 1 22 254.1 43 8 13 749.2 45 9 11 713.8 47 10 14 874.5 53 11 8 709.6 50 11 10 933.9 56 13 9 1,050.3 59 12 6 874.9 47 10 8 797.4 53 13 12 1,021.7 47 10 11 782.5 55 15 6 1,091.2 48 10 9 1,054.0 49 10 11 748.4 48 12 12 847.0 50 11 9 978.2 39 7 13 601.9 47 9 11 860.1 48 10 12 769.8 49 10 10 740.3 44 8 12 683.8 49 11 10 786.6 48 11 10 858.0 47 8 12 559.5 48 9 10 908.5 58 11 6 797.0 43 8 13 719.4 a) Make a scatter plot and indicate relationship between variable "worker's age" and "time spent connected to web". b) Using a linear regression model. estimate number of hours a worker is connected to web if he/she is 52 years old. c) Determine a linear regression model that relates salary with worker's service labor
Course: Statistics - Lineal Regression
A company dedicated to sale of services wants to carry out a study on impact of use of web during working hours.
Age (years) | Worker's services Labor (years) | Web time connected (weekly) | Monthly salary (Thousands of $) |
22 |
1 |
22 |
254.1 |
43 |
8 |
13 |
749.2 |
45 |
9 |
11 |
713.8 |
47 |
10 |
14 |
874.5 |
53 |
11 |
8 |
709.6 |
50 |
11 |
10 |
933.9 |
56 |
13 |
9 |
1,050.3 |
59 |
12 |
6 |
874.9 |
47 |
10 |
8 |
797.4 |
53 |
13 |
12 |
1,021.7 |
47 |
10 |
11 |
782.5 |
55 |
15 |
6 |
1,091.2 |
48 |
10 |
9 |
1,054.0 |
49 |
10 |
11 |
748.4 |
48 |
12 |
12 |
847.0 |
50 |
11 |
9 |
978.2 |
39 |
7 |
13 |
601.9 |
47 |
9 |
11 |
860.1 |
48 |
10 |
12 |
769.8 |
49 |
10 |
10 |
740.3 |
44 |
8 |
12 |
683.8 |
49 |
11 |
10 |
786.6 |
48 |
11 |
10 |
858.0 |
47 |
8 |
12 |
559.5 |
48 |
9 |
10 |
908.5 |
58 |
11 |
6 |
797.0 |
43 |
8 |
13 |
719.4 |
a) Make a
b) Using a linear regression model. estimate number of hours a worker is connected to web if he/she is 52 years old.
c) Determine a linear regression model that relates salary with worker's service labor.
d) Determine and interpret linear
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