Simple Linear Regression Module Quiz

There are 15 questions here. Click the relevant box or drag and drop the answers as appropriate! Click VIEW FEEDBACK when you’re ready to see the answers. When you want to move on just click EXIT QUIZ. Enjoy!

1. A researcher wants to perform a simple linear regression to find out if the socio-economic status of a teacher can predict whether they work at a primary or a secondary school. Why can’t this be done?

Because there are not enough variables for the analysis
Because socio-economic status can not be used as a predictor variable
Because the outcome variable is nominal not continuous

2. Please use the table to decide which of the following statements are true about truancy rates and gender.

There are more males than females included in the sample.
1129 of the 7307 males in the sample have been truant in the last year.
2226 of the 14403 students sampled have been truant in the last year.
Females appear to be disproportionately likely to have been truant in comparison to males.
The table shows a statistically significant difference between male and female exclusion rates.

3. The SPSS/PASW output below displays the chi-square test based on the table in the previous question. Can we conclude that males are more likely to have been truant in the last 12 months than females?

Yes
No
Not enough information

4. Please indicate which of the statements about the following graph is true.

KS2 and KS3 scores are positively correlated
KS2 and KS3 scores are negatively correlated
KS2 and KS3 scores are unrelated

5. Please indicate the strength and direction of the relationships described by each of the following values of Pearson’s r by dragging them into the relevant box

6. A researcher collects data about students’ anxiety ahead of a spelling test and finds a correlation with test performance, r = .17, p = .12. Can the researcher conclude that test anxiety is significantly associated with test performance?

Yes
No

7. If a study found that there was a statistically significant strong positive correlatation between attitude to Maths and exam scores it could be concluded that a positive attitude causes better performance.

True
False

8. Under what circumstances is it better to use Spearman’s rho rather than Pearson’s r?

When data is nominal
When data is continuous
When data is ordinal

9. Please match each of the terms below with their definition.

10. The following formula represents a regression model which uses the number of days a student spent revising to predict their score on a Spanish test (%). y = 5x + 15. Please match the explanations with the figures in the boxes by dragging and dropping each one – note each figure may have more than one matching explanation.

11. Please check next to the statements which are true of regression lines. Note there may be more than one!

A regression line is created by minimizing the difference between the line and the data points
A regression line is created by maximizing the difference between the line and the data points
A regression line can be used to predict one variable from another
A regression line can be calculated with data from a single variable

12. A simple linear regression using the LSYPE data was carried out to try to ascertain if ‘attitude to school’ could predict exam performance at KS3.

Using the above table please type in the percentage of variance in KS3 exam scores that ‘attitude to school’ explains.

13. The ANOVA table from the Simple Linear Regression in the previous question tells us that F = 368.1, df = 1, p < .05. What does this mean?

That the regression model is no better at predicting KS3 score than simply using the mean of KS3 scores.
That the regression model is better at predicting KS3 score than simply using the mean of KS3 scores.
That there is not a significant relationship between KS3 score and ‘attitude to school’.

14. Below is the SPSS output about coeffiecients for the ‘attitude to school’ and KS3 results regression.

What does the model predict happens to KS3 score for each one point that the ‘attitide to school’ rating increases?

It increases by 19.186.
It increases by 1.097.
It decreases by 0.056.

15. It is important that the residuals are normally distributed when preforming a regression analysis.

True
False

Privacy statement

This quiz is anonymous. No data which personally identifies you is collected on the quiz, and the data you provide is used solely to help us improve the delivery of our courses.

Using Statistical Regression Methods in Education Research

Simple Linear Regression Module Quiz