Consumers Union provides ratings on a large variety of consumer
products. They use sophisticated testing methods as well as surveys
of their members to create these ratings.
One recent article rated laundry detergents on a scale from 1 to 100. Here are the ratings along with the price per load, in cents, for 24 laundry detergents:
Use these data to compute the correlation between rating and the price per load. (Use decimal notation. Give your answer to three decimal places.) |
using Excel<data<megastat<correlation/regression
Regression Analysis | ||||||
r² | 0.507 | |||||
r | 0.712 | |||||
Std. Error | 4.240 | |||||
n | 24 | |||||
k | 1 | |||||
Dep. Var. | Price (cents) y | |||||
ANOVA table | ||||||
Source | SS | df | MS | F | p-value | |
Regression | 406.1375 | 1 | 406.1375 | 22.59 | .0001 | |
Residual | 395.4875 | 22 | 17.9767 | |||
Total | 801.6250 | 23 | ||||
Regression output | confidence interval | |||||
variables | coefficients | std. error | t (df=22) | p-value | 95% lower | 95% upper |
Intercept | -2.8311 | 3.72 | -0.76 | 0.45 | -10.55 | 4.89 |
Rating x | 0.3948 | 0.0831 | 4.753 | .0001 | 0.2225 | 0.5670 |
0.712
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