1.

Student exam marks (out of 100) and the number of classes they attended in the trimester were recorded for a subject. Excel was used to investigate the potential linear relationship between these two variables. A section of the summary output is provided below:

Regression statistics
Multiple R	0.63
R square	0.3969
Observations	55
	Coefficients	Standard Error
Intercept	61.11	6.26
Attendance	47	1.56

How many students were sampled?

Answer

2.

Regression was used to estimate sales revenue ($/week) from number of customers: You are given the following linear relationship:

Estimated Sales Revenue = 30 + 78 Customers

Which of the following is the correct interpretation of the slope?

Estimate sales revenue decreases by an average $78, for each extra customer.

Estimate sales revenue decreases by an average of $30, for each extra customer.

Estimate sales revenue increases by an average $108, for each extra customer.

Estimate sales revenue increases by an average $78, for each extra customer. Estimate sales revenue increases by an average of $30, for each extra customer.Clear my choice

3.

You are told that the following values represent four different correlation coefficients, r, labelled A to D as follows:

A = 0.95 B = 0.3 C = 0.90 D = 0.88

Which of the following statements is correct?

A,represents a very strong, upward sloping, linear relationship.

Of these four correlation coefficients, B represents the strongest linear relationship

C, represents a very strong, downward sloping, linear relationship.

D, represents a strong, downward sloping, linear relationship.

B, represents a very weak, upward sloping, linear relationship.Clear my choice