S-ID.6.c
Fit a linear function for a scatter plot that suggests a linear association.
Example Problems
Zara studied the age (in years) and resale value (in thousand dollars) of a random sample of 40 used cars. Here is computer output on the sample data:
Regression: resale value vs. age
Assume that all conditions for inference have been met.
Write the expression for the test statistic for testing the null hypothesis that the population slope in this setting is .
Regression: resale value vs. age
| Predictor | Coef | SE Coef |
|---|---|---|
| Constant | 18.7 | 0.9 |
| Age | -1.85 | 0.31 |
Assume that all conditions for inference have been met.
Write the expression for the test statistic for testing the null hypothesis that the population slope in this setting is .
Leona collected data on the battery life (in hours) and price (in dollars) of a random sample of mobile phones. Here is computer output from a least-squares regression analysis on her sample:
Assume that all conditions for inference have been met.
Write the expression for the test statistic for testing the null hypothesis that the population slope in this setting is 0.
| Predictor | Coef | SE Coef |
|---|---|---|
| Constant | 191.312 | 94.318 |
| Battery life | 6.556 | 3.788 |
Assume that all conditions for inference have been met.
Write the expression for the test statistic for testing the null hypothesis that the population slope in this setting is 0.
Isabella is studying the relationship between daily study hours and exam score. She records data for a random sample of 22 students. Here is computer output from a least-squares regression analysis on her sample:
Assume that all conditions for inference have been met.
Write the expression for a 99% confidence interval for the slope of the least squares regression line.
| Predictor | Coef | SE Coef | T | P |
|---|---|---|---|---|
| Constant | 52.30 | 5.05 | 10.36 | 0.00 |
| Study hours | 4.52 | 1.05 | 4.30 | 0.00 |
Assume that all conditions for inference have been met.
Write the expression for a 99% confidence interval for the slope of the least squares regression line.
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