Hypothesis Tests for Slopes of Regression Lines (College Board AP® Statistics)
Study Guide
Written by: Mark Curtis
Reviewed by: Dan Finlay
t-test for slope of regression line
What is a t-test for the slope of a regression line?
A t-test for the slope of a regression line is used to test whether the population slope, , of the population least-squares regression line, has changed
A random sample of observations from the population, with a sample least-squares regression line of is used to try to prove the case
What are the hypotheses for a t-test for a slope?
The null hypothesis, , is the assumption that the population slope has not changed
e.g. The population slope has the fixed value
It is assumed to be correct, unless evidence proves otherwise
The alternative hypothesis, , is how you think the population slope has changed
e.g. or or
Examiner Tips and Tricks
When writing out your hypotheses, always fully define the symbol used for the population parameter in context, e.g. '... where is the slope of the population least-squares regression line of all student weights against all student shoe sizes in the school'
What are the conditions for a t-test for a slope?
When performing a t-test for a slope, you must show that it meets the following conditions:
The relationship between and must be linear
Look for randomness in a population residual plot
The standard deviation of the -values (responses), , cannot vary with
Check on a population residual plot that the lengths (vertical heights) of residuals stay roughly the same as increases horizontally
The residuals are independent
by verifying that data is collected by random sampling
or random assignment (in an experiment)
and, if sampling without replacement, showing that the sample size is less than 10% of the population size
For a given value of , the responses (-values) follow an approximate normal distribution
A population residual plot should show residuals evenly spread either side of the horizontal zero line
There should be more points in the inner horizontal band (either side of the zero line) and fewer points in the outer horizontal bands
If the sample size is , the distribution of responses (-values) should have no strong skew and no outliers
Look at a population residual plot to see if there is a bias (skew) to one side of the horizontal zero line, and look for outliers
If the distribution does have a skew, then the sample size must be
How do I calculate the standardized test statistic (t-value)?
You need a measure of how far the sample slope is from the population slope
This is the standardized test statistic (in this case, called the t-value)
The t-value, for the slope is given by:
where is the sample slope, is the population slope under the null hypothesis , and is the standard error of the sample slope given by
where is the sample size
and where
and
The t-value shows how many standard errors the sample slope is from the population slope
Examiner Tips and Tricks
The formula for the standardized test statistic is given in the exam, , along with tables of parameters and standard errors.
You will need to apply this correctly to get the t-value.
How do I read output information on regression from a computer?
The formulas for the standardized test statistic are complicated to use in practice
Computers are often used to calculate these quantities instead
You may be given computer output information from a sample, as follows:
Predictor | Coef | SE Coef | T | P |
---|---|---|---|---|
Constant | 33.243 | 4.436 | 7.49 | 0.000 |
[x-variable name] | 1.1356 | 0.3421 | 3.32 | 0.004 |
S = 7.35829 | R-Sq = 35.2 % | R-Sq (adj) = 32.1 % |
The above computer output says
the sample least-squares regression line is
This gives the sample slope, , needed for
the standard error of the sample slope, , is 0.3421
This gives the standard error, , needed for
do not confuse with , which is an estimate for the standard deviation of population residuals (the standard error of the residuals)
Examiner Tips and Tricks
Make sure you know how to find the slope of a sample least-squares regression line from any computer output given in the exam (do not use the row for the 'constant' term!).
How do I calculate the p-value?
Work out the t-value (standardized test statistic)
Find the appropriate number of degrees of freedom ('dof')
For a t-test for a slope this is always
If is known in , then
Using the t-distribution table given to you:
find the row that corresponds to the dof
identify the t-value in the row that is closest to the calculated value
write down the value in the corresponding column header
this is the p-value
Note that the p-value from the t-table is for one tail
You need to double this value for a two-tail test
How do I conclude a hypothesis test?
Conclusions to a hypothesis test need to show two things:
a decision about the null hypothesis
an interpretation of this decision in the context of the question
To make the decision, compare the p-value to the significance level
If then the null hypothesis should be rejected
If then the null hypothesis should not be rejected
In a two-tailed test, remember to double the p-value and compare this to
Examiner Tips and Tricks
Remember that the conclusion should be interpreted within the context of the question.
Use the same language in your conclusion that is used in the problem, e.g. 'The data provides sufficient evidence that the slope of the population least-squares regression line for all student weights against all student shoe sizes in the school has increased from ...'.
What are the steps for performing a t-test for a slope on a calculator?
When using a calculator to conduct a t-test for a slope, you must still write down all steps of the hypothesis testing process:
State the null and alternative hypotheses and clearly define your parameter
Describe the test being used and show that the situation meets the conditions required
Calculate the t-value and the degrees of freedom
Calculate the p-value using your calculator
select a one-sample t-test and enter the relevant summary statistics or data to generate the p-value
Compare the p-value to the significance level
Write down the conclusion to the test and interpret it in the context of the problem
Examiner Tips and Tricks
Even if you perform the one-sample t-test on your calculator, it is still important to show all of your working to demonstrate full understanding. Therefore you should still calculate the t-value and the degrees of freedom.
Worked Example
On an island with an inactive volcano, a local ecologist knows that ferns (a type of plant) grow taller the further they are away from the volcanic crater. The slope of the population regression line relating distance from the volcanic crater, kilometers, to fern height, centimeters, has a slope of 0.55 cm per km.
The ecologist suspects that the volcano may be becoming active and heating up the island, but does not know what affect this may have on fern heights relative to their distance from the volcanic crater. The ecologist takes a random sample of 26 ferns, measuring their distances from the volcanic crater and their heights, with the results from a computer analysis of the sample shown below.
Predictor | Coef | SE Coef | T | P |
---|---|---|---|---|
Constant | 33.243 | 4.436 | 7.49 | 0.000 |
Distance | 1.1356 | 0.3421 | 3.32 | 0.004 |
S = 7.35829 | R-Sq = 35.2 % | R-Sq (adj) = 32.1 % |
Is there convincing statistical evidence to support the ecologist's suspicion that there has been a change in the slope of the population regression line, at a significance level of ? You may assume all conditions for inference are met.
Answer:
Define the population parameter,
Let be the slope of the population least-squares regression line relating distance from the volcanic crater, kilometers, to fern height, centimeters
Write the null and alternative hypotheses
This will be a two-tailed test as a change is suspected but an increase or a decrease is not specified
State the type of test being used and verify that the conditions for the test are met
The correct inference procedure is a t-test for the population slope at
It is assumed in the question that all conditions for inference are met
Calculate the standardized test statistic, using where , (from the table) and (from the table)
State the number of degrees of freedom (this is for a t-test for a slope)
degrees of freedom = 26 - 2 = 24
Find the p-value, e.g. from the t-tables
Find the row corresponding to 24 degrees of freedom and identify the t-value that is closest to the calculated t-value of 1.71178...
closest t-value = 1.711
corresponding p-value is
Double this probability because it is a two-tailed test
Compare the probability to the significance level and state the conclusion of the test
is not rejected
Interpret the result in the context of the question
There is not sufficient evidence to support the ecologist's suspicion that the slope of the population least-squares regression line relating distance from the volcanic crater, kilometers, to fern height, centimeters, has changed from 0.55 cm per km
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