suppose we have the data
number of days(x) | expenditures claim (y) |
10 | 116 |
3 | 39 |
8 | 85 |
17 | 159 |
5 | 61 |
9 | 94 |
14 | 143 |
16 | 178 |
21 | 225 |
13 | 134 |
Ans a ) the scatterplot of the data is
b ) since scatterplot shows that there is a linear relationship between number of days and expenditures claim so we can fit the regression line here.
c )using minitab>stat>Regression
we have
Regression Analysis: expenditures claim versus number of days
The regression equation is
expenditures claim = 8.640 + 9.893 number of days
S = 8.96626 R-Sq = 97.7% R-Sq(adj) = 97.5%
Analysis of Variance
Source DF SS MS F P
Regression 1 27835.2 27835.2 346.24 0.000
Error 8 643.2 80.4
Total 9 28478.4
the regression equation is
y = 8.64+9.893 *x
When X = 8
Y =8.64+9.893 *8 = 87.784
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