Answered

Get detailed and accurate responses to your questions with IDNLearn.com. Ask anything and receive immediate, well-informed answers from our dedicated community of experts.

What’s the equation of the regression line you’d use to predict stopping distance based on speed?
Answer:

Interpret the slope of the regression line.
Answer:

Find a 95% confidence interval for the slope of the regression line.
Answer:

Test the hypothesis H0: β1 = 0 and Ha: β1 ≠ 0.
Answer:

Suppose, instead of testing H0: β1 = 0, you decided to test H0: β1 = 5 against Ha: β1 ≠ 5. What P-value would be associated with this test?

Sagot :

Varshamittal029idn

From the given output the regression equation is

StopDist = ₋89.99 ₊5.7053(speed)

The slope of the regression equation is 5.7053

from the Excel output the 95% confidence interval for the slope of the regression line is (5.0809, 6.3296)

By the rejection rule ,reject the null hypothesis.

Given,

from the given output the regression equation is

StopDist = ₋89.99 ₊ 5.7053(speed)

Interpreting the slope of the regression line.

from the given output the regression equation the slope is 5.7053.

To find a 95% confidence interval for the slope of the regression line follow the excel procedure:

  1. click on the data>data analysis>Regression.
  2. In input Y range enter $B$2:$B$11
  3. In X range enter $A$2:$A$S11.
  4. Enter confidence level as 95.
  5. click on ok.

From the excel output the 95% confidence interval for the slope of the regression line is (50809, 6.3296).

State the hypothesis

Null hypothesis:

H₀ : β₁ ≠ 0

Alternative hypothesis:

Hₓ : β₁ ≠ 0

Reject rule:

If p value≤ α(=0.05), then reject the null hypothesis.

By the rejection rule, reject the null hypothesis (H₀)

Learn more about "regression equation" here-brainly.com/question/25987747

#SPJ10

View image Varshamittal029
We value your presence here. Keep sharing knowledge and helping others find the answers they need. This community is the perfect place to learn together. For trustworthy answers, rely on IDNLearn.com. Thanks for visiting, and we look forward to assisting you again.