The correlation coefficient is used to determine A. A specific value of the dependent variable given a specific value of the independent variable. B. A specific value of the independent variable given a specific value of the dependent variable. C. The strength of the relationship between the dependent and independent variables. D. None of these.

The correlation coefficient is used to determine A. A specific value of the dependent variable given a specific value of the independent variable. B. A specific value of the independent variable given a specific value of the dependent variable. C. The strength of the relationship between the dependent and independent variables. D. None of these.

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Complete the statements. The sign of the correlation coefficient and the sign of the slope of the regression line will... 1. always be the same 2. sometimes be the same 3. always be different When r is positive, b... 1. will be positive 2. may be positive 3.will be negative When r is negative, b... 1. will be positive 2. may be positive 3.will be negative
Number 2. Provide a detailed solution.
The following data was collected to explore how a student's age and GPA affect the number of parking tickets they receive in a given year. The dependent variable is the number of parking tickets, the first independent variable (x1x1) is the student's age, and the second independent variable (x2x2) is the student's GPA. Effects on Number of Parking Tickets Age GPA Number of Tickets 17 3 1 20 3 4 20 3 4 22 3 4 22 33 6 23 33 6 23 44 7 24 44 7 25 44 8 Step 1 of 2: Find the p-value for the regression equation that fits the given data. Round your answer to four decimal places. Step 2 of 2: Determine if a statistically significant linear relationship exists between the independent and dependent variables at the 0.010.01 level of significance. If the relationship is statistically significant, identify the multiple regression equation that best fits the data, rounding the answers to three decimal places. Otherwise, indicate that there is not enough evidence to show…
The following data was collected to explore how the average number of hours a student studies per night and the student's GPA affect their ACT score. The dependent variable is the ACT score, the first independent variable (x1) is the number of hours spent studying, and the second independent variable (x2) is the student's GPA. Effects on ACT Scores Study Hours GPA ACT Score 0 2 17 1 2 20 3 2 25 5 4 26 5 4 26 Copy Data Step 2 of 2: Determine if a statistically significant linear relationship exists between the independent and dependent variables at the 0.05 level of significance. If the relationship is statistically significant, identify the multiple regression equation that best fits the data, rounding the answers to three decimal places. Otherwise, indicate that there is not enough evidence to show that the relationship is statistically significant. Answer How to enter your answer (opens in new window) 2 Points Keypad Keyboard Shortcuts Selecting a checkbox will replace the entered…
Which of the following statements about correlation are true? Check all that apply. If the correlation between two variables is 0, there is no clear linear relationship between the two variables. Correlation measures and describes the behavior of a single variable. A correlation of 1 indicates that there is little or no linear relationship between the two variables. If the correlation between two variables is –1, it indicates a perfect negative linear relationship between the two variables. A negative correlation means that two variables tend to change in opposite directions. The correlation indicates the strength and the direction of the linear relationship between two variables. If the correlation between two variables is close to 1, there is a positive linear relationship between the two variables.
The cost of a leading liquid laundry detergent in different sizes is given below Size (ounces) Cost ($) 16 3.99 32 4.99 64 5.99 200 10.99 A. Write a brief description of the association.B. What is the strength of the relationship between the size of the laundry detergent and the cost? Use the correlation coefficient in your explanation.C. State the model for the size of the laundry detergent and the cost.D. Interpret the slope of your model in context.E. Interpret the intercept of your model in context. F. In the context of the problem is it better to have a positive or negative residual. Explain. G. Use the linear model to predict the cost of 300 ounces of laundry detergent.
2 Please don't provide hand written solution
Calculate the correlation coefficient by hand for the relationship of ordinal variables X and Y in DATA SET A. Make sure you show all of your work and demonstrate the use of the formula. Then, evaluate the correlation coefficient you calculated using the online p-value calculator we learned about in class. DATA SET A X Y 1 3 2 1 3 2 4 5 5 6 6 7 7 4
Dr. Wright, a researcher at the Young County Botany Institute, reported the following correlations. The correlation between pH level of soil and tomato weight is r₁ = 0.8. The correlation between hours of sunlight and tomato weight is r2 = 0.7. According to this information, which of the following statements are true? Select all that apply. ✓Larger tomatoes result from more daily hours of sunlight. Larger tomatoes result from lower soil pH level. ✔Tomato size is related more strongly to hours of sunlight than to soil pH level. None of these are true.
The following sample contains values of the price and quantity sold of a particular commodity. Use quantity sold as the dependent variable Y. Price (X) 6.00 3.00 7.00 1.00 2.00 8.00 Quantity sold (Y) 53 67 48 76 70 28 ∑x}=27, ∑y=342, ∑x2=163, ∑xy=1295, ∑y2 = 21062, n=6. d. Find the coefficient of determination and interpret .
Match the correlation coefficients with their scatterplots. Select the letter of the scatterplot below which corresponds to the correlation coefficient. (Click on image for a larger view.) B v 1. r = -0.74 с A ✓ 2. r = -0.49 3. r = -0.97 4. r = 0.76 A B D