Give the value of the correlation coefficient and interpret its meaning. 2. Compute the least-squares regression line for predicting energy consumption (y) from income (x) 3. Interpret the value of the slope. 4. Predict the amount of energy consumption for a household with an income of $150,000. Round to the nearest tenth. 5. What is the 95% confidence interval for the slope. You do not have to
1. Give the value of the
2. Compute the least-squares regression line for predicting energy consumption (y) from income (x)
3. Interpret the value of the slope.
4. Predict the amount of energy consumption for a household with an income of $150,000. Round to the nearest tenth.
5. What is the 95% confidence interval for the slope. You do not have to interpret the results.
6.Construct a 99% confidence interval for the slope. You do not have to interpret the results.
7. Test ? : ? = 0 versus ? : ? > 0. Can you conclude that income is useful in predicting energy consumption? 01 11
Use the ? = 0.05 level of significance.
-
Is this a left-tailed test, a right-tailed test, or a two-tailed test?
-
What is the value of the test statistic? Do not round.
-
Identify the p-value for this procedure. Do not round.
-
Using the p-value method, should ?0 be rejected at the ? = 0.05 level of significance? Why or why not?
-
Can you conclude that income is useful in predicting energy consumption?
Trending now
This is a popular solution!
Step by step
Solved in 2 steps
