Looking at the table below, which variables were the most strongly correlated? \[\begin{array} { | l | l | l | l | l | } \hline & & { \text { Work ethic } } & \text { Annual income } & \text { IQ } \\ \hline \text { Work ethic } & \begin{array} { l } \text { Pearson's } \\ \text { correlation } \end{array} & 1.000 & .72 & .66 \\ \hline & \text { Sig. (2-tail) } & . & .001 & .000 \\ \hline & \text { N } & 550 & 550 & 550 \\ \hline \text { Annual income } & \begin{array} { l } \text { Pearsor's } \\ \text { correlation } \end{array} & .72 & 1.000 & .47 \\ \hline & \text { Sig. (2-tail) } & .000 & . & .03 \\ \hline & \text { N } & 550 & 550 & 550 \\ \hline \text { IQ } & \begin{array} { l } \text { Pearson's } \\ \text { correlation } \end{array} & .66 & .47 & 1.000 \\ \hline & \text { Sig. (2-tail) } & .000 & .03 & . \\ \hline & \text { N } & 550 & 550 & 550 \\ \hline \end{array}\]

A) Work ethic and annual income B) Work ethic and IQ C) Annual income and IQ D) None of the correlations are significant A) Work ethic and annual income B) Work ethic and IQ C) Annual income and IQ D) None of the correlations are significant A

A) The average value of groups of data. B) Scores on one variable plotted against scores on a second variable. C) The frequency with which values appear in the data D) The proportion of data falling into different categories. A) The average value of groups of data. B) Scores on one variable plotted against scores on a second variable. C) The frequency with which values appear in the data D) The proportion of data falling into different categories.

The table below contains scores from six people on two different scales that measure attitudes towards reality TV shows. \(\begin{array} { | c | c | } \hline \begin{array} { c } \text { Attitudes towards Watching RealityTV } \\ \text { Scale } \end{array} & \text { The General Reality TV Scale } \\ \hline 3 & 2 \\ \hline 7 & 5 \\ \hline 4 & 3 \\ \hline 1 & 1 \\ \hline 8 & 7 \\ \hline 6 & 7 \\ \hline \end{array}\) Based on intuition rather than computation, which of the following is the value of the correlation coefficient between the two scales?

A) .1 B) .92 C) 9.0 D) -.92 A) .1 B) .92 C) 9.0 D) -.92

What do the results in the table below show? \[\begin{array} { | l | l | l | l | } \hline & & { \text { Work produrtivity } } & { \begin{array} { c } \text { Time spent on } \\ \text { Facebook } \end{array} } \\ \hline \text { Work pradurtivity } & \text { Pearson's correlation } & 1.000 & - 94 \\ \hline & \text { Sig. (2-tail) } & & .000 \\ \hline & \text { N }&100&100\\ \hline \begin{array} { l } \text { Time spent on } \\ \text { Facebook } \end{array} & \text { Pearsan's correlation } & - 94 & 1.000 \\ \hline & \text { Sig.(2-tail) } & .000 \\ \hline & \text { N } & 100 & 100 \\ \hline \end{array}\]

A) In a sample of 100 people, there was a strong negative relationship between work productivity and time spent on Facebook, r = -.94, p .001. A) In a sample of 100 people, there was a strong negative relationship between work productivity and time spent on Facebook, r = -.94, p .001.

The table below contains scores from six people on two different scales that measure attitudes towards reality TV shows. \(\begin{array} { | c | c | } \hline \begin{array} { c } \text { Attitudes towards Watching RealityTV } \\ \text { Scale } \end{array} & \text { The General Reality TV Scale } \\ \hline 3 & 2 \\ \hline 7 & 5 \\ \hline 4 & 3 \\ \hline 1 & 1 \\ \hline 8 & 7 \\ \hline 6 & 7 \\ \hline \end{array}\) Based on intuition rather than computation, which of the following is the value of the coefficient of determination between the two scales?

A) .85 B) -.85 C) .085 D) 85 A) .85 B) -.85 C) .085 D) 85

The table below contains scores from six people on two different scales that measure attitudes towards reality TV shows. \(\begin{array} { | c | c | } \hline \begin{array} { c } \text { Attitudes towards Watching RealityTV } \\ \text { Scale } \end{array} & \text { The General Reality TV Scale } \\ \hline 3 & 2 \\ \hline 7 & 5 \\ \hline 4 & 3 \\ \hline 1 & 1 \\ \hline 8 & 7 \\ \hline 6 & 7 \\ \hline \end{array}\) Using the scores above, the two scales are likely to:

A) Correlate negatively. B) Correlate positively. C) Be uncorrelated. D) Have identical means. A) Correlate negatively. B) Correlate positively. C) Be uncorrelated. D) Have identical means.