please provide steps that you did to solve
please provide steps that you did to solve ни 9.3.7 Use the value of the linear...
Use the value of the linear correlation coefficient to calculate the coefficient of determination. What does this tell you about the explained variation of the data about the regression line? About the unexplained variation? = 0.448 Calculate the coefficient of determination (Round to three decimal places as needed.) What does this tell you about the explained variation of the data about the regression line? % of the variation can be explained by the regression line. Round to one decimal place...
Use the value of the linear correlation coefficient to calculate the coefficient of determination. What does this tell you about the explained variation of the data about the regression line? About the unexplained variation? r=-0.587
Use the value of the linear correlation coefficient to calculate the coefficient of determination. What does this tell you about the explained variation of the data about the regression line? About the unexplained variation? requals=0.839
Use the value of the linear correlation coefficient to calculate the coefficient of determination. What does this tell you about the explained variation of the data about the regression line? About the unexplained variation? requals=0.2910.291 Calculate the coefficient of determination. nothing (Round to three decimal places as needed.)
Find the margin of error for the given values of c, s, and n. c 0.90, s-2.7, n 29 Click the icon to view the t-distribution table. The margin of error is . (Round to one decimal place as needed.) Which value of r indicates a stronger correlation: 0.846 or0.933? Explain your reasoning. Choose the correct answer below A. r=-0.933 represents a stronger correlation because l-0.939 > 10.845. B. r0.846 represents a stronger correlation because 0.846> -0.933. C.-0.933 represents a...
***PLEASE DO ALL THIS IS MY LAST QUESTION OF THE GIVEN AMOUNT OF QUESTIONS :( *** Which value of r indicates a stronger correlation:r 0.751 orr0.896? Explain your reasoning Choose the correct answer below. A. r=-0.896 represents a stronger correlation because 0.751 >-0.896. B. r=0.751 represents a stronger correlation because l-08961-10.751. C· r--0 896 represents a stronger correlation because 1-0 8961-10751. D. 0.751 represents a stronger correlation because 0.751> -0.896. The budget (in millions of dollars) and worldwide gross (in...
After running a linear regression model, you want to check the goodness of fit of the model and you have decided to look at the coefficient of determination value (R2). Which of the following statements is/are true? Select all correct answers The coefficient of determination describes the percentage of the total variation that is explained by the regression line. If the coefficient of determination is very low, our model is not good at explaining the reality. It is good to...
BBA 403 TEST 3: Name: Score:_ SOLVE AND THOROUGHLY INTERPRET YOUR ANSWER 1. A marketing manager conducted a study to determine whether there is a linear relationship between many spent on advertising and company sales. The data are shown on the table below. Display the data in a scatter plot, calculate the correlation coefficient, state a conclusion, and interpret the result Adverstising Company Expense, (1000s of s) (1000s of ) 2.4 16 2.0 26 14 1.6 2.0 2.2 184 220...
The length of time in yours took a random sample of 32 forkers to quit smoking permanentyrested in the population standard deviation is 630.00, is there enough evidence to the claim that the man time to smokers to gut smoking permanenty i 13 yos? Complete parts) 127 87 104 123 103 174 117 22.10 165 159 204 16.5 144 174 15.1 162 223 10.7 17.5 16.7 107 224 32 156 112184 11.1 1 197 2211553 (a) Identity the chain and...
The table shows the number of goals allowed and the total points earned (2 points for a win, and 1 point for an overtime or shoc season. The equation of the regression line is y = -0.600x + 225.826. Use the data to answer the following questions. (a) Find the coefficient of determination, and interpret the result. (b) Find the standard error of the estimate, se, and interpret the result. Goals 212 210 219 223 259 258 273 200 217...