Exam 18: Correlation and Regression

Then I used the same data to do a regression. I predicted height in centimeters, using height in inches as the predictor. What would I be most likely to find:

A researcher looks at the relationship between the scores for reading and age (in years) , for children in primary (elementary) school. The reading has 20 questions, so a score between 0 and 20 is possible. They find that the intercept = -5 and the slope = 2. What should they conclude?

Which of the following is true:

The standard error of a correlation coefficient is:

What (approximate) correlation is shown in the following scatterplot:

I asked students to measure their heights in inches, and then their heights in centimeters. I recorded the two measures and calculated the correlation between them. What do you think I would be most likely to find?

A researcher finds that orchestra conductors tend to die at an older age than other members of the orchestra. What can they conclude?

A researcher wants to examine the relationship between students' height, and the size of a box that they can jump over. Unfortunately, some of the students can't jump over the smallest box. This is an example of:

We should be concerned about possible outliers because:

Which of the following sets of values could occur with a real dataset:

Regression analysis, rather than correlation might be used when:

Using Cohen's criteria, we would describe a correlation of 0.1 as:

If we find a negative relationship between owning a cat and being a victim of a burglar (such that people who have cats are less likely to have their possessions stolen), what can we conclude:

Which of the following is true:

Using Cohen's criteria we would describe a correlation of r = 0.48 as:

A standardized regression line (in a bivariate regression) is:

A researcher assesses the smoking and drinking habits of a group of retired ex-coal miners, and also assesses their grip strength. The researcher finds that the miners who smoke and drink more have higher strength. What can they conclude:

Two researchers look at the relationship between the number of visits to the doctor with flu, and the temperature in different cities. They use the same data, but one researcher uses the Fahrenheit scale of temperature, and one uses the Celsius (centigrade scale). What would you expect:

Ladislaus Bortkiewicz famously looked at the number of Prussian soldiers who had been kicked to death by horses over about 200 years. He found a distribution that looked like this: In most years (109) no Prussian soldiers were killed by horses. In 65 years, only one soldier died this way, until in one particularly bad year, 4 Prussian soldiers were killed by horses. If you wanted to predict this variable, what would you use?

You should use a Spearman correlation, rather than a Pearson correlation, if: