Question 12 0.31 pts If there is a moderate positive and statistically significa

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Question 12 0.31 pts If there is a moderate positive and statistically significant correlation between hours spent attending lectures and final grade, then it can be concluded that:

a)students who attend more lectures tend to earn higher grades.

b)spending more time attending lectures will improve your final grade.

c)the final grade can be accurately predicted from the number of hours of lectures you attended.

d)spending more time attending lectures will lead to improvement in your final grade.

Question 13 0.31 pts Which of the following correlation coefficients suggest the strongest relationship?

a)r = .09

b)r = .54

c)r = –.69

d)r = -.17

Question 14 0.31 pts
There is a moderate positive and statistically significant relationship between annual wage and numbers of years of teaching experience. What would you conclude from on this finding?
a)A teacher with 40 years’ experience earns $40,000.
B)More teaching experience is moderately associated with higher annual wage in that teachers who have been teaching longer tend to earn more to some extent.
c)Teachers will start on a salary of $40,000.
d)Teaching experience cause increase in salary.

Question 15 0.31 pts Which of the following are the assumptions that must be met in order to use the Pearson product-moment correlation?

a)The assumption of homoscedasticity

b)The assumption of linearity

c)Both variables are measured on a continuous scale

d)All the other answers are correct

Question 16 0.35 pts Having undertaken a Pearson r correlation analysis, produced a scatterplot of the data to visually represent the relationship between the two variables, and added a ‘line of best fit’ to the scatterplot, you find that most of the datapoints are quite close to the ‘line of best fit’, but that quite a few are very far away from the ‘line of best fit’ on one end of the scatterplot, and violates one of the assumptions of Pearson r correlation. What is this assumption called and how would you proceed in this case?

a)It is called linearity and I would not analyze the data because the data violates the assumption of parametric tests.

b)It is called homoscedasticity and I would stop analyze the data.

c)It is called homoscedasticity and I would proceed with Spearman rank order correlation to analyze the data.

d)It is called normality and I would use Spearman rank order correlation to analyze the data.

Explanation / Answer

Question 12:

d)spending more time attending lectures will lead to improvement in your final grade.

Question 13:

c)r = –.69

Question 14:

B)More teaching experience is moderately associated with higher annual wage in that teachers who have been teaching longer tend to earn more to some extent.

Question 15:

b)The assumption of linearity

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