Using the Instructor ranking data conduct a simple linear regression to predict a student's scores based on the number of hours the student studies and answer the following questions: 1) What is the value of the intercept of this regression equation? 2) What is the value of the slope of this regression equation and what is its interpretation within the context of this problem? 3) Write the equation for this logistic regression model 4) R2 = What does this number mean? 5) F = Explain how F (F ratio) is calculated and what it means. 6) Write the results

Class Participation	Actual grade	Hours Studying	gender
12	98	5	f
11	94	5	f
10	88	4	m
9	91	4.5	f
8	93	4.1	m
7	88	3.8	f
6	88	3	f
5	85	3	m
4	82	3	m
3	66	2	m
2	71	1	f
1	61	1	m

Conducting Linear Regression Analysis

1. ClickAnalyze,Regression,Linear
2. Transfer the dependent variable and the independent variable age into the independent box.
3. Click the statistics button. You will be presented with theLinear Regression: Statisticsdialogue box, as shown below
4. In addition to the options already selected by SPSS, select Confidence intervals, the 95% level; descriptive and part and partial correlations.You will end up with the following screen:
5. Click Continue. Click OK

6.Select Histogram, Normal probability plot and produce all partial plots boxes, as shown below:

7. Click continue and click the save button.