In: Statistics and Probability
Find the regression equation using the following set of data with y as the response variable.
x | y |
---|---|
40.2 | 82.2 |
54.2 | 111.8 |
43 | 84.3 |
30.7 | 68.5 |
33 | 90.8 |
42.8 | 78.5 |
30.9 | 71.7 |
28.6 | 69.8 |
36.6 | 83.1 |
41.1 | 93.9 |
26.6 | 63.9 |
45.5 | 95.5 |
What is the correlation coefficient? use three decimal
places.
r =
What is the regression line equation. Use each value to three
decimal places.
ˆyy^ = + x
What is the predicted value of the response variable, when using a
value of 32.1 as the explanatory variable. ? Write answer accurate
to one decimal place.
ˆyy^ =
X | Y | X * Y | X2 | Y2 | |
40.2 | 82.2 | 3304.44 | 1616.04 | 6756.84 | |
54.2 | 111.8 | 6059.56 | 2937.64 | 12499.24 | |
43 | 84.3 | 3624.9 | 1849 | 7106.49 | |
30.7 | 68.5 | 2102.95 | 942.49 | 4692.25 | |
33 | 90.8 | 2996.4 | 1089 | 8244.64 | |
42.8 | 78.5 | 3359.8 | 1831.84 | 6162.25 | |
30.9 | 71.7 | 2215.53 | 954.81 | 5140.89 | |
28.6 | 69.8 | 1996.28 | 817.96 | 4872.04 | |
36.6 | 83.1 | 3041.46 | 1339.56 | 6905.61 | |
41.1 | 93.9 | 3859.29 | 1689.21 | 8817.21 | |
26.6 | 63.9 | 1699.74 | 707.56 | 4083.21 | |
45.5 | 95.5 | 4345.25 | 2070.25 | 9120.25 | |
Total | 453.2 | 994 | 38605.6 | 17845.36 | 84400.92 |
Part a)
r = 0.868
Equation of regression line is Ŷ = a + bX
b = 1.461
a =( Σ Y - ( b * Σ X) ) / n
a =( 994 - ( 1.4606 * 453.2 ) ) / 12
a = 27.671
Equation of regression line becomes Ŷ = 27.671 + 1.461
X
When X = 32.1
Ŷ = 27.671 + 1.461 X
Ŷ = 27.671 + ( 1.461 * 32.1 )
Ŷ = 74.6