1. A researcher is interested in determining whether wealth predicts happiness in college students. To find out, the researcher samples 402 students in order to conduct a regression analysis. Preliminary data analyses reveal the following:r= +.2; SSxy = 2, SSx = 10, SSy = 10. Assume that wealth and happiness were both measured on a self-report scale with possible values of 1-100 and the mean wealth value was 50 and the mean happiness value was 50.
2. What should you decide?
3. Prove the alternative (research) hypothesis
4. Prove the null hypothesis
5. Retain the null hypothesis
6. Reject the null hypothesis

1. A researcher is interested in determining whether wealth predicts happiness in college students. To find out, the researcher samples 402 students in order to conduct a regression analysis. Preliminary data analyses reveal the following:r= +.2; SSxy = 2, SSx = 10, SSy = 10. Assume that wealth and happiness were both measured on a self-report scale with possible values of 1-100 and the mean wealth value was 50 and the mean happiness value was 50.
2. What does this decision mean in plain English?
3. Wealth is a significant predictor of happiness
4. Wealth is not a significant predictor of happiness
5. Wealth causes happiness
6. Happiness causes wealth

1. A researcher is interested in determining whether wealth predicts happiness in college students. To find out, the researcher samples 402 students in order to conduct a regression analysis. Preliminary data analyses reveal the following:r= +.2; SSxy = 2, SSx = 10, SSy = 10. Assume that wealth and happiness were both measured on a self-report scale with possible values of 1-100 and the mean wealth value was 50 and the mean happiness value was 50.
2. If the researcher had sampled only 42 people instead of 402, what impact would that have had on the analysis? Assume the only thing that changes is the sample size.
3. The critical value would get smaller, the observed test statistic would get smaller, MS residual would get small
4. The critical value would get smaller, the observed test statistic would get smaller, MS residual would get bigger
5. The critical value would get bigger, the observed test statistic would get smaller, MS residual would get bigger
6. The critical value would get bigger, the observed test statistic would get bigger, MS residual would get bigger

1. A researcher is interested in determining whether wealth predicts happiness in college students. To find out, the researcher samples 402 students in order to conduct a regression analysis. Preliminary data analyses reveal the following:r= +.2; SSxy = 2, SSx = 10, SSy = 10. Assume that wealth and happiness were both measured on a self-report scale with possible values of 1-100 and the mean wealth value was 50 and the mean happiness value was 50.
2. What is the slope of the regression line?
3. 6
4. .1
5. .2
6. 4

1. A researcher is interested in determining whether wealth predicts happiness in college students. To find out, the researcher samples 402 students in order to conduct a regression analysis. Preliminary data analyses reveal the following:r= +.2; SSxy = 2, SSx = 10, SSy = 10. Assume that wealth and happiness were both measured on a self-report scale with possible values of 1-100 and the mean wealth value was 50 and the mean happiness value was 50.
2. What is the intercept of the regression line?
3. 50
4. 10
5. 40
6. 0

1. A researcher is interested in determining whether wealth predicts happiness in college students. To find out, the researcher samples 402 students in order to conduct a regression analysis. Preliminary data analyses reveal the following:r= +.2; SSxy = 2, SSx = 10, SSy = 10. Assume that wealth and happiness were both measured on a self-report scale with possible values of 1-100 and the mean wealth value was 50 and the mean happiness value was 50.
2. What would the predicted happiness value be for someone who has a wealth value of 60?
3. 10
4. 36
5. 0
6. 52

1. A researcher is interested in determining whether wealth predicts happiness in college students. To find out, the researcher samples 402 students in order to conduct a regression analysis. Preliminary data analyses reveal the following:r= +.2; SSxy = 2, SSx = 10, SSy = 10. Assume that wealth and happiness were both measured on a self-report scale with possible values of 1-100 and the mean wealth value was 50 and the mean happiness value was 50.
2. Assume that the minimum wealth value in the sample was 20 and the maximum wealth value in the sample was 80. What would the predicted happiness value be for someone who has a wealth value of 95?
3. 59
4. 30
5. We cannot know for sure, because of heteroscedacity
6. We cannot know for sure, because we cannot extrapolate beyond the range of our sample data

1. A researcher is interested in determining whether wealth predicts happiness in college students. To find out, the researcher samples 402 students in order to conduct a regression analysis. Preliminary data analyses reveal the following:r= +.2; SSxy = 2, SSx = 10, SSy = 10. Assume that wealth and happiness were both measured on a self-report scale with possible values of 1-100 and the mean wealth value was 50 and the mean happiness value was 50.
2. If the researcher had sampled only 42 people instead of 402, would that increase or decrease the likelihood of a significant result? Assume the only thing that changes is the sample size.
3. A significant result would be less likely with a smaller sample size
4. A smaller sample size would decrease the effect size, but would not affect the potential for a significant result
5. A significant result would be more likely with a smaller sample size
6. A smaller sample size would increase the effect size, but would not affect the potential for a significant result