Question

1. A Professor of MAT120 class wants to see if number of absences reflects the score on the student’s test. He randomly selected 10 students from a class and summarized the data below.

Correlations
		number of absence	score out of 100
number of absences	Pearson Correlation	1	-.885**
	Sig. (2-tailed)		.001
	N	10	10
score out of 100	Pearson Correlation	-.885**	1
	Sig. (2-tailed)	.001
	N	10	10
**. Correlation is significant at the 0.01 level (2-tailed).

Coefficientsa
Model		Unstandardized Coefficients		Standardized Coefficients	t	Sig.
		B	Std. Error	Beta
1	(Constant)	95.403	6.271		15.213	.000
	number of absence	-7.473	1.388	-.885	-5.382	.001
a. Dependent Variable: score out of 100

1. Who are the individuals?

2. What is the sign of the correlation coefficient of number of absence vs score on the test? Explain the meaning of the sign.

3. How many subjects are selected?
   
4. What is the slope? Explain the slope.
   
5. Write an equation of linear regression line.
   
6. Predict the test score if a student had 10 days of absence.

7. If number of absences increase by 2 days how much the test score will increase or decrease?

Answer 1