You want to know if cat owners or dog owners sleep longer. You recruit a group of cat owners and a group of dog owners and measure their sleep using a biofeedback watch (including how many hours of sleep they get each night. What type of statistical analysis would you use to answer this question? Single-sample t-test Dependent Samples t-test Independent Samples t-test One-way ANOVA Bivariate Correlation Bivariate Linear Regression

otected View - Saved to this PC Search View Help 12. The city council is considering a law that would ban smoking in all public facilities. A sample has been selected from the community and tested for of the ordinance. Is there a statistically significant relationship between age and support for the anti-smoking law? Use the five step model as a guide and write a sentence or two interpreting your results. support Age More than 40 Less than 40 Support: For 145 78 223 Against 103 248 169 247 272 495 A. Use probabilities to determine if these two variable are independent or dependent P (Less than 40) 3D P(Less than 40 | For)= P(Less than 40| Against) = Are age and support for the anti-smoking law independent? (Yes independent/No = not independent) B. Conduct a hypothesis test using an alpha of .05 that these variables are i

Age                6         8         10          12 Shoe size       3        4.5        5            7.5 What is the correlation coefficient of the linear regression

When there are omitted variables in your regression, then... Group of answer choices This has no effect on the estimation of the explanatory variable because the variable is omitted This will always bias the OLS estimation of the explanatory variable the estimation of the explanatory variable(s) is unaffected The OLS estimation is biased if the omitted variables are correlated with the included variable

2. Given the partial results from a linear regression model below, a sample size of 504, and a=0.05, a. What is the F-Statistic for the overall model? b. Is it statistically significant? Model Residuals Total Degrees of Freedom 3 Sum of Squares 12000 12288 Mean Square F-Statistic

Discussion Question: In this research study, one group was asked to watch a car accident and were asked to estimate the speed of the car after it "hit" the other car, while a different group also watched an accident but instead were asked to estimate the speed after the cars "collided." Explain why an independent samples t-test was used, and give your own example of a research study in which an independent samples t-test would be the appropriate statistical analysis.

A researcher is interested in examining the relationship between spousal abuse and child abuse.  Specifically, they are interested in determining whether there is a predictive relationship between spousal abuse and child abuse in 5 county social services offices.  Calculate the linear regression line for the following data.  Note you have already calculated the first step to this analysis (Pearson's Correlation)

Using the sample data from the accompanying table, complete parts (a) and (b). E Click the icon to view the data table (a) Explain why it does not make sense to construct confidence or prediction intervals based on the least-squares regression equation. Choose the correct answer below. O A. It does not make sense to construct confidence or prediction intervals based on the least-squares regression equation because there is a linear relationship between sugar content and calories in high-protein and moderate protein energy bars. O B. It does not make sense to construct confidence or prediction intervals based on the least-squares regression equation because there is no linear relationship between sugar content and calories in high-protein and moderate protein energy bars. O C. It does not make sense to construct confidence or prediction intervals based on the least-squares regression equation because the residuals are not normally distributed. (b) Construct a 95% confidence interval for…

Stereo A company sets different prices for a particular stereo system in eight different regions of the country. The accompanying table shows the numbers of units sold and the corresponding prices (in hundreds of dollars). SALES 420 380 350 400 440 380 450 420 PRICE 5.5 6.0 6.5 6.0 5.0 6.5 4.5 5.0   Stereo: Using the SPSS file assigned to this quiz, run a regression. What is the p value for the overall regression? .001 .051 .000 1.00