Question 1 A Pearson\'s correlation coefficient of -.5 would be represented by a
ID: 3206375 • Letter: Q
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Question 1
A Pearson's correlation coefficient of -.5 would be represented by a scatterplot in which:
a.
The regression line slopes upwards.
b.
Half of the data points sit perfectly on the line.
c.
There is a moderately good fit between the regression line and the individual data points on the scatterplot.
d.
The data cloud looks like a circle and the regression line is flat.
Question 2
If you have a curvilinear relationship, then:
a.
It is not appropriate to use Pearson's correlation because it assumes a linear relationship between variables.
b.
You can use Pearson's correlation; you just need to remember that a curve indicates that the variables are not linearly related.
c.
Pearson's correlation can be used in the same way as it is for linear relationships.
d.
Transforming the data will not help.
a.
The regression line slopes upwards.
b.
Half of the data points sit perfectly on the line.
c.
There is a moderately good fit between the regression line and the individual data points on the scatterplot.
d.
The data cloud looks like a circle and the regression line is flat.
Question 9 1. Looking at the table below, which variables were the most strongly correlated? Pearson's correlation 1.000 Sig. (2-tail) 550 Pearson's correlation Sig. (2-tail) 000 550 Pearson's correlation .66 Sig. (2-tail) 550 Work ethic and IQ. Annual income and IQ. None of the correlations are significant. Work ethic and annual income. 72 001 550 1.000 550 47 03 550 .66 loco 550 .03 550 1.000 550Explanation / Answer
Values between 0.7 and 0.8 are moderate. Negative regression slopes downwards. For r value too be very small data cloud looks like a circle. So based on all this explanation
A Pearson's correlation coefficient of -.5 would be represented by a scatterplot in which: Answer is b. Half of the data points sit perfectly on the line.
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