Here is a bivariate data set.
x | y |
---|---|
15.9 | 16.9 |
83.4 | 53.9 |
43.8 | 22.2 |
49.4 | 49.3 |
58.4 | 11.8 |
77.4 | 38.8 |
19.6 | 19.5 |
Find the correlation coefficient and report it accurate to three
decimal places.
r =
What proportion of the variation in y can be explained by
the variation in the values of x? Report answer as a
percentage accurate to one decimal place.
r² = %
2. Run a regression analysis on the following bivariate set of data with y as the response variable.
x | y |
---|---|
3.8 | 74.8 |
54.7 | 49.8 |
26.5 | 64.7 |
-7.8 | 86.8 |
22.6 | 56.6 |
60.7 | 36.1 |
39.3 | 54.3 |
-3.4 | 91.2 |
30.4 | 58.8 |
50.2 | 55.2 |
32 | 52.9 |
Verify that the correlation is significant at an α=0.05. If the
correlation is indeed significant, predict what value (on average)
for the explanatory variable will give you a value of 43.3 on the
response variable.
What is the predicted explanatory value?
x =
(Report answer accurate to one decimal place.)
1.
r = 0.644
r2 = 0.415
= 41.5 %
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