In: Statistics and Probability
i)
From the above scatter plot, increase the value of experience (x), increases the corresponding value of Performance Ratings (y), and vice versa. Hence, these two variables have a positive association.
ii)
Experience (x) |
Ratings (y) |
x^2 | xy | |
1 |
16 |
87 |
256 | 1392 |
2 |
12 |
88 |
144 | 1056 |
3 |
18 |
89 |
324 | 1602 |
4 |
4 |
68 |
16 | 272 |
5 |
3 |
78 |
9 | 234 |
6 |
10 |
80 |
100 | 800 |
7 |
5 |
75 |
25 | 375 |
8 |
12 |
83 |
144 | 996 |
Total | 80 | 648 | 1018 | 6727 |
iii)
From the above probability plot, the residuals follow a normal distribution. Hence, the assumption of the error of the model is satisfied.
The plot between the residuals VS order of the data, it shows randomness without a specific pattern. Hence, assumption of the homoscedasticity on the residual is satisfied.
Therefore, we can convince the Director that this model you have given is good enough to make predictions.