You are interested in the relationship between the visual consumption of crime shows (average per day in hours) and levels of fear of crime (on a scale of 0-30). You have asked a random sample of 14 individuals (random digit dialing) how many hours they watch TV crime shows (per week) and about their level of fear of crime on a scale from 1 to 30. You select an alpha level of 0.05. Because you are uncertain about the direction of the relationship, you choose to utilize two-tailed t values.
a. State your null and alternative hypotheses.
b. Utilizing the data from the table presented below:
i. Compute beta (b). Interpret your result.
ii. Compute the constant (a) and interpret your result.
iii. Determine the strength and direction of the relationship by computing Pearson's r. Interpret your result.
iv. Compute r² and interpret your result.
v. Compute the prediction error you could possibly have knowing nothing about the distribution of the independent variable (hours of crime shows watched).
vi. Compute the unexplained variance.
vii. Compute the explained variance.
c. Make a decision rule to determine significance.
d. Make a decision and interpret your results.
e. Compute the standard error of estimate.
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Question

You are interested in the relationship between the visual consumption of crime shows (average per day in hours) and levels of fear of crime (on a scale of 0-30). You have asked a random sample of 14 individuals (random digit dialing) how many hours they watch TV crime shows (per week) and about their level of fear of crime on a scale from 1 to 30. You select an alpha level of 0.05. Because you are uncertain about the direction of the relationship, you choose to utilize two-tailed t values.
a. State your null and alternative hypotheses.
b. Utilizing the data from the table presented below:
i. Compute beta (b). Interpret your result.
ii. Compute the constant (a) and interpret your result.
iii. Determine the strength and direction of the relationship by computing Pearson's r. Interpret your result.
iv. Compute r² and interpret your result.
v. Compute the prediction error you could possibly have knowing nothing about the distribution of the independent variable (hours of crime shows watched).
vi. Compute the unexplained variance.
vii. Compute the explained variance.
c. Make a decision rule to determine significance.
d. Make a decision and interpret your results.
e. Compute the standard error of estimate.

\begin{array} { | c | } \hline \text { Case } \\\hline \\\hline 1 \\\hline 2 \\\hline 3 \\\hline 4 \\\hline 5 \\\hline 6 \\\hline 7 \\\hline 8 \\\hline 9 \\\hline 10 \\\hline 11 \\\hline 12 \\\hline 13 \\\hline 14 \\\hline\end{array}

Quizplus · Accepted Answer

The Answer of You are interested in the relationship between the visual consumption of crime shows (average per day in hours) and levels of fear of crime (on a scale of 0-30). You have asked a random sample of 14 individuals (random digit dialing) how many hours they watch TV crime shows (per week) and about their level of fear of crime on a scale from 1 to 30. You select an alpha level of 0.05. Because you are uncertain about the direction of the relationship, you choose to utilize two-tailed t values. a. State your null and alternative hypotheses. b. Utilizing the data from the table presented below: i. Compute beta (b). Interpret your result. ii. Compute the constant (a) and interpret your result. iii. Determine the strength and direction of the relationship by computing Pearson's r. Interpret your result. iv. Compute r² and interpret your result. v. Compute the prediction error you could possibly have knowing nothing about the distribution of the independent variable (hours of crime shows watched). vi. Compute the unexplained variance. vii. Compute the explained variance. c. Make a decision rule to determine significance. d. Make a decision and interpret your results. e. Compute the standard error of estimate. $$\begin{array} { | c | } \hline \text { Case } \ \hline \ \hline 1 \ \hline 2 \ \hline 3 \ \hline 4 \ \hline 5 \ \hline 6 \ \hline 7 \ \hline 8 \ \hline 9 \ \hline 10 \ \hline 11 \ \hline 12 \ \hline 13 \ \hline 14 \ \hline \end{array}$$

You Are Interested in the Relationship Between the Visual Consumption