stats4 - D) The data are not normal Problem Set #4 1. A...

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3. The correlation between x and y ___ depend on the units of measurement of x and y. In calculating the correlation, ___ which variable you call the explanatory variable and which you call the response variable. A) does, it makes no difference B) does, it makes a difference C) does not, it makes no difference D) does not, it makes a difference 4. A normal quantile plot does not show a straight line. What conclusion can we draw? A) The data might be normal, but they might not be B) The data are normal, but not standard normal C) The data are standard normal D) The data are not normal 5. The normal quantile plot shows a straight line that falls exactly on the 45 degree line. What conclusion can we draw? A) The data might be normal, but they might not be B) The data are normal, but not standard normal C) The data are standard normal
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Unformatted text preview: D) The data are not normal Problem Set #4 1. A regression of test scores (TS, measured in points) on age (measured in years) using a random sample of high school students aged 15-18 yields the following: One 15 year old student included in the sample received an actual test score of 712. What is the residual associated with this observation in the data set? 2. A researcher is interested in the relationship between hourly earnings and years of education. Data was collected from 100 individuals. Average hourly earnings are $20 per hour with a standard deviation of $6 per hour. Average years of education are 15 years with a standard deviation of 4 years. The correlation between the two variables is 0.8. Hourly earnings are regressed on years of education. What is the slope of the OLS regression line?...
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stats4 - D) The data are not normal Problem Set #4 1. A...

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