Salesperson | Years of Experience | Annual Sales ($1000s) |
1 | 1 | 85 |
2 | 4 | 100 |
3 | 4 | 91 |
4 | 4 | 97 |
5 | 6 | 107 |
6 | 9 | 109 |
7 | 10 | 118 |
8 | 11 | 126 |
9 | 10 | 113 |
10 | 14 | 132 |
Compute b1 and b0 (to 1 decimal).
b1 =
b0 =
Complete the estimated regression equation (to 1 decimal).
y = ... + x
According to this model, what is the change in annual sales ($1000s) for every year of experience (to 1 decimal)?
Compute the coefficient of determination (to 3 decimals). Note: report r2 between 0 and 1.
r2 =
What percentage of the variation in annual sales ($1000s) can be explained by the years of experience of the salesperson (to 1 decimal)?
... %
A new salesperson joins the team with 6 years of experience. What is the estimated annual sales ($1000s) for the new salesperson (to the nearest whole number)?
$ ...
X | Y | X * Y | |||
1 | 85 | 85 | 1 | 7225 | |
4 | 100 | 400 | 16 | 10000 | |
4 | 91 | 364 | 16 | 8281 | |
4 | 97 | 388 | 16 | 9409 | |
6 | 107 | 642 | 36 | 11449 | |
9 | 109 | 981 | 81 | 11881 | |
10 | 118 | 1180 | 100 | 13924 | |
11 | 126 | 1386 | 121 | 15876 | |
10 | 113 | 1130 | 100 | 12769 | |
14 | 132 | 1848 | 196 | 17424 | |
Total | 73 | 1078 | 8404 | 683 | 118238 |
Equation of regression line is
b = 3.6
a =( 1078 - ( 3.5616 * 73 ) ) / 10
a = 81.8
Equation of regression line becomes
b0 = a = 81.8
b1 = b = 3.6
r = 0.969
Coefficient of Determination
Explained variation = 0.938* 100 = 93.8%
Unexplained variation = 1 - 0.938* 100 = 6.2%
When X = 6
= 81.8 +
3.562 X
= 81.8 +
3.562 * 6
=
103
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