Compute the intercept of the regression line for the data below. $\begin{array} { c c c c c } \mathrm { X } \text { values } & - 5 & 0 & 5 & 8 \\ \text { Y values } & 6 & 6 & - 3 & 0 \end{array}$

A) 3.54 B) 3.87 C) 4.15 D) 4.87 A) 3.54 B) 3.87 C) 4.15 D) 4.87

\[\begin{array}{l} \text { Compute the slope of the regression line for the data }\\ \begin{array} { c c c c c } & \mathrm { X } \text { values } & - 3 & - 2 & 2 \\ \text { below. } & \text { Y values } & 3 & 4 & - 1 \end{array} \end{array}\]

A) -1.93 B) -0.93 C) 1.36 D) -4.78 A) -1.93 B) -0.93 C) 1.36 D) -4.78

\[\begin{array}{l} \text { Compute the slope of the regression line for the data }\\ \begin{array} { c c c c c c } & \text { Xvalues } & - 4 & - 1 & 5 & 10 \\ \text { below. } & \text { Y values } & 5 & 3 & - 3 & 0 \end{array} \end{array}\]

A) -1.31 B) -0.43 C) 0.93 D) -3.06 A) -1.31 B) -0.43 C) 0.93 D) -3.06

Compute the standard error of the estimate for the data below. $\begin{array}{lccc} \text { X values } & -3 & 1 & 6 \\ \text { Y values } & 3 & 5 & -3 \end{array}$

A) 11.50 B) 3.80 C) 14.46 D) 7.35 A) 11.50 B) 3.80 C) 14.46 D) 7.35

Compute the correlation coefficient for the data below $\begin{array}{|c|c|c|c|c|c|} \hline \text { X values } & -5 & -2 & 1 & 4 & 4 \\ \hline \text { Y values } & 3 & -1 & -3 & 3 & -2 \\ \hline \end{array}$

A) 0.521 B) 0.368 C) -0.271 D) -0.058 A) 0.521 B) 0.368 C) -0.271 D) -0.058

\[\begin{array}{l} \text { The western city wishes to see if there is a relationship between the summer temperature and the amount }\\ \begin{array} { c c c } & \left. \operatorname { Temp } ^ { \circ } { } ^ { \circ } \mathrm { C } \right) & \text { Kilowatts, } { } ^ { y } \\ & 22.7 & 680 \\ & 25.5 & 760 \\ & 29.4 & 910 \\ & 36.6 & 1,510 \\ & 38.8 & 1,170 \\ & 27.2 & 837 \\ \text { of electricity used (in kilowatts). } & 24.4 & 600 \\ & 40.5 & 1,800 \end{array} \end{array}\] -If a correlation coefficient calculated for n = 14 and $\alpha = 0.01$ is found to be r = 0.856, what is the test value for the t - test?

A) 4.059 B) 5.736 C) 2.851 D) 6.374 A) 4.059 B) 5.736 C) 2.851 D) 6.374

Exam 9: Correlation and Regression

A study on the oxygen consumption rate (OCR) of sea cucumbers involved random samples of size 3 at each of the temperatures 10, 11, 12, 13, 14, and 15oC A regression model was fit in order to study The relationship between OCR and temperature. The degrees of freedom for testing that there is no Relationship between OCR and temperature would be

(Multiple Choice)

4.8/5

(43)

Question 61

If the equation for the regression line is y = -4x + 6, then the slope of this line is

(Multiple Choice)

4.8/5

(47)

Question 62

A multiple regression line was calculated in which $x _ { 2 }$ was a student's grade point average and $x _ { 2 }$ was a student's age. The multiple regression line was calculated as $y ^ { \prime } = - 187 + 463 x _ { 1 } + 7,28 x _ { 2 }$ . If a student has a grade Point average of 5.9 and is 20 years old, what is the predicted value of $y ^ { \prime }$ ?

(Multiple Choice)

4.8/5

(36)

Question 63

Compute the intercept of the regression line for the data below. values -5 0 5 8 Y values 6 6 -3 0

(Multiple Choice)

4.8/5

(36)

Question 64

A positive relationship exists when both variables increase or decrease at the same time.

(True/False)

4.7/5

(43)

Question 65

A correlation coefficient r was calculated to be 0.61. The coefficient of determination would be approximately . ______________________________

(Short Answer)

4.8/5

(35)

Question 66

Compute the slope of the regression line for the data values -3 -2 2 below. Y values 3 4 -1

(Multiple Choice)

4.9/5

(42)

Question 67

A study was conducted to determine if there was a relationship between the prices a non-member of a club paid for various publications and the prices that a member paid for the same publications. The data gathered are shown below. What is the value of the correlation coefficient? Non-member Member Price, x Price, 58 32 42 22 46 20 32 16 25 19 75 58 35 34 63 48

(Multiple Choice)

4.8/5

(39)

Question 68

Compute the slope of the regression line for the data Xvalues -4 -1 5 10 below. Y values 5 3 -3 0

(Multiple Choice)

4.8/5

(43)

Question 69

Compute the standard error of the estimate for the data below. X values -3 1 6 Y values 3 5 -3

(Multiple Choice)

4.9/5

(36)

Question 70

A study on the oxygen consumption rate (OCR) of sea cucumbers involved random samples of size 3 at each of the temperatures 10, 11, 12, 13, 14, and 15oC A regression model was fit in order to study The relationship between OCR and temperature. If one of the analysts converted the temperatures to Fahrenheit $\left( { } ^ { \circ } \mathrm { F } = 32 + ( 9 / 5 ) ^ { \circ } \mathrm { C } \right)$ the correlation coefficient would be

(Multiple Choice)

4.7/5

(37)

Question 71

Compute the correlation coefficient for the data below X values -5 -2 1 4 4 Y values 3 -1 -3 3 -2

(Multiple Choice)

4.8/5

(28)

Question 72

If the correlation coefficient r is equal to 0.6, find the coefficient of nondetermination.

(Multiple Choice)

4.7/5

(32)

Question 73

The equation of a regression line is $y ^ { \prime } = 46 + 32 x$ . What is the intercept of this line?

(Multiple Choice)

4.9/5

(38)

Question 74

A study on the oxygen consumption rate (OCR) of sea cucumbers involved random samples of size 3 at each of the temperatures 10, 11, 12, 13, 14, and $15 ^ { \circ } \mathrm { C }$ . A regression model was fit in order to study the Relationship between OCR and temperature. The slope of the regression line was found to be positive. If one of the analysts converted the temperatures to Fahrenheit $\left( { } ^ { \circ } \mathrm { F } = 32 + ( 9 / 5 ) ^ { 0 } \mathrm { C } \right)$ the slope of the Regression line would be

(Multiple Choice)

4.7/5

(43)

Question 75

The western city wishes to see if there is a relationship between the summer temperature and the amount Kilowatts, 22.7 680 25.5 760 29.4 910 36.6 1,510 38.8 1,170 27.2 837 of electricity used (in kilowatts). 24.4 600 40.5 1,800 -If a correlation coefficient calculated for n = 14 and $\alpha = 0.01$ is found to be r = 0.856, what is the test value for the t - test?

(Multiple Choice)

4.7/5

(36)

Question 76

If the correlation coefficient r is equal to 0.66, find the coefficient of determination.

(Multiple Choice)

4.8/5

(40)

Question 77

A study was conducted to determine if there was a relationship between the prices a non-member of a club paid for various publications and the prices that a member paid for the same publications. Which of the following could not be the value of a correlation coefficient? Non-member Member Price, x Price, 58 32 42 22 46 20 32 16 25 19 75 58 35 34 63 48

(Multiple Choice)

4.7/5

(31)

Question 78

The rounding rule for the correlation coefficient uses two decimal places.

(True/False)

4.8/5

(46)

Question 79

Daniel Wiseman, a scientist for Gres-Trans Corp., wants to determine if the flow rate of a particular material changes with different changes in temperature. The data is plotted in the figure Below. What type of relationship exists between the flow rate and the change in temperature?

(Multiple Choice)

4.8/5

(38)

Question 80

If the equation for the regression line is y = -4x + 6, then the slope of this line is

Compute the intercept of the regression line for the data below. values -5 0 5 8 Y values 6 6 -3 0

A positive relationship exists when both variables increase or decrease at the same time.

A correlation coefficient r was calculated to be 0.61. The coefficient of determination would be approximately . ______________________________

Compute the slope of the regression line for the data values -3 -2 2 below. Y values 3 4 -1

Compute the slope of the regression line for the data Xvalues -4 -1 5 10 below. Y values 5 3 -3 0

Compute the standard error of the estimate for the data below. X values -3 1 6 Y values 3 5 -3

Compute the correlation coefficient for the data below X values -5 -2 1 4 4 Y values 3 -1 -3 3 -2

If the correlation coefficient r is equal to 0.6, find the coefficient of nondetermination.

The equation of a regression line is $y ^ { \prime } = 46 + 32 x$ . What is the intercept of this line?

If the correlation coefficient r is equal to 0.66, find the coefficient of determination.

The rounding rule for the correlation coefficient uses two decimal places.

Daniel Wiseman, a scientist for Gres-Trans Corp., wants to determine if the flow rate of a particular material changes with different changes in temperature. The data is plotted in the figure Below. What type of relationship exists between the flow rate and the change in temperature?

The Nature of Probability and Statistics

Frequency Distributions and Graphs

Data Description

Discrete Probability Distributions

The Normal Distribution

Confidence Intervals and Sample Size

Hypothesis Testing

Testing the Difference Between Two Means, Two Proportions, and Two Variances

Chi-Square and Analysis of Variance Anova

Tables

Data Bank

Glossary

Filters

Exam 9: Correlation and Regression

If the equation for the regression line is y = -4x + 6, then the slope of this line is

Compute the intercept of the regression line for the data below. values -5 0 5 8 Y values 6 6 -3 0

A positive relationship exists when both variables increase or decrease at the same time.

A correlation coefficient r was calculated to be 0.61. The coefficient of determination would be approximately __________. ________________________________________

Compute the slope of the regression line for the data values -3 -2 2 below. Y values 3 4 -1

Compute the slope of the regression line for the data Xvalues -4 -1 5 10 below. Y values 5 3 -3 0

Compute the standard error of the estimate for the data below. X values -3 1 6 Y values 3 5 -3

Compute the correlation coefficient for the data below X values -5 -2 1 4 4 Y values 3 -1 -3 3 -2

If the correlation coefficient r is equal to 0.6, find the coefficient of nondetermination.

The equation of a regression line is y′=46+32xy ^ { \prime } = 46 + 32 xy′=46+32x . What is the intercept of this line?

If the correlation coefficient r is equal to 0.66, find the coefficient of determination.

The rounding rule for the correlation coefficient uses two decimal places.

Daniel Wiseman, a scientist for Gres-Trans Corp., wants to determine if the flow rate of a particular material changes with different changes in temperature. The data is plotted in the figure Below. What type of relationship exists between the flow rate and the change in temperature?

The Nature of Probability and Statistics

Frequency Distributions and Graphs

Data Description

Discrete Probability Distributions

The Normal Distribution

Confidence Intervals and Sample Size

Hypothesis Testing

Testing the Difference Between Two Means, Two Proportions, and Two Variances

Chi-Square and Analysis of Variance Anova

Tables

Data Bank

Glossary

Filters

A correlation coefficient r was calculated to be 0.61. The coefficient of determination would be approximately . ______________________________

The equation of a regression line is $y ^ { \prime } = 46 + 32 x$ . What is the intercept of this line?