Perform the proper ANOVA using SPSS and copy the output under the question. Follow the instructions in the ANOVA SPSS PowerPoint for all of the options in the dialog box. For Plots, use ethnicity on the horizontal axis, type of program as separate lines. B. On the ANOVA table, circle the 4 relevant MS values (one for each main effect, one for the interaction, and one for the error term) and put them into F ratios as if you were calculating your 3 F ratios by hand. f. In this type of analysis, if you have a significant interaction, you should focus on that. Is your interaction significant? Does this match up with what you see in the plot? g. Write a few sentences describing the results of the statistical test using APA style. Make sure to create a table of your M 8: SD for each of the groups (see Chapter 12 for APA guidelines). PART II: CORRELATIONS For this part, you will be using the data file called cars.sav, located in the Modules section. This data set contains information about 406 different cars. It includes information about each car's miles per gallon, engine displacement, horsepower, weight, time to accelerate to 60mph, year, origin, and the number of cylinders. Use this data file to answer questions about the relationship between those variables. 1. Run correlations on the following variables: mpg, engine, horse, weight. a. What is the correlation (r value) between each of the different relationships (hint: there should be 6 different relationships). b. Which of these relationships are signicant? c. Write up 6 different sentences in APA style to report the results of these relationships. 2. Run another correlation, this time using mpg, time to accelerate, and model year. a. What is the correlation (r value) between each of the different relationships (hint: there should be 3 different relationships). b. Which of these relationships are signicant? c. Describe what the correlation between mpg and model year means in simple English. Does this relationship make sense? d. Describe what the correlation between mpg and time to accelerate means in simple English. Does this relationship make sense? 3. Make a scatter plot of the relationship between time to accelerate and horsepower. Put horsepower on the X axis and accelerate on the Y axis. a. Does the scatterplot match up with your result from Question 1? b. What is the linear regression equation for this relationship? c. How much time to accelerate would you predict in a car with 200 horsepower based on the linear regression equation