The following data were collected.
x: 0,1,6,3,5
y: 6,5,2,4,3
Plot the data by hand.
Calculate the least squares estimates forβˆ0 and βˆ1 .
3. Then determine the estimated regression line and insert this line of best fit into your plot from part A.
X | Y | X * Y | ||
0 | 6 | 0 | 0 | |
1 | 5 | 5 | 1 | |
6 | 2 | 12 | 36 | |
3 | 4 | 12 | 9 | |
5 | 3 | 15 | 25 | |
Total | 15 | 20 | 44 | 71 |
Equation of regression line is
=
-0.6154
=(
20 - ( -0.6154 * 15 ) ) / 5
=
5.8462
Equation of regression line becomes
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