For problems #1-6,usescience.sav dataset.

#1. (5 points)Conduct an appropriate correlation analysis to evaluate the relation between students' math scores (MATHvariable) and their interest in the subject (INTERESTvariable).

Include all relevant outputs that you used for writing your report.

A one- way between- subject ANCOVA was conducted to examine the correlation between students' math scores and their interest in the subject. Math scored were statistically related to height (F(1,46)= 5.259,p< 0001). The

#2. (5 points)Conduct an appropriate t-test to relate student's scores on science (SCIENCE variable) and math (MATHvariable) tests.

Include all relevant outputs that you used for writing your report.

#3. (10 points)Conduct an appropriate analysis to predict students' science scores (SCIENCE variable) from their memory scores (MEMORY variable).

Calculate predicted science scores for students with memory scores of 17 and 55.

Include all relevant outputs that you used for writing your report.

#4. (10 points)Conduct an appropriate statistical analysis to evaluate differences in science scores (SCIENCE variable) among students with different levels of interest (INTEREST variable).

Include all relevant outputs that you used for writing your report.

#5. (10 points)Conduct two-way ANOVA to assess the effect of status (STATUS variable) and interest (INTEREST variable) on math (MATH variable) scores.

Include any outputs you used in your report.

#6. (10 points)Conduct an appropriate statistical analysis to determine whether students' test scores changed across the subjects (SCIENCE& MATHvariables) for each interest level (INTERESTvariable). Include the line graph depicting the effects of subject and interest on students' grades.

Include any outputs you used in your report.