3. Which of the following statements about correlation is true? htpslxlitemprod
ID: 3310822 • Letter: 3
Question
3. Which of the following statements about correlation is true? htpslxlitemprod pearsoncmg.com/api'v1/print mah Choose the correct answer below OA. We say that there is a negative correlation between x and y if the x-alues increase as the O B. We say that there is a positive correlation between x and y if there is no distinct patten in the ° C. We say that there is a positive correlation between x and y if the x-values ncrease as the corresponding y-values increase. scatterplot corresponding y-values increase. corresponding y-values decrease. O D. We say that there is a cation betwen and yf he xorabse increse as 4. Find the regression equation, letting the first variable be the predictor (x) variable. Using the listed lemonv/crash data where lemon imports are in metric tons and the fatality rates are per 100,000 people, find the best predicted crash fatality rate for a year in which there are 475 metric tons of lemon imports. Is the prediction worthwhile? Lemon Imports Crash Fatality Rate 16 15.8 154 154 15 Find the equation of the regression ine. 227 270 356 499 513 Round the constant three decimal places as nooded. Round the coefficient to six decimal places as needed,) The best predicted crash fatality rate for a year in which there are 475 metric tons of lemon imports is (Round to one decimal place as needed.) Is the prediction worthwhile? 0 A. Since there appears to be an outer, the prediction is not appropriate. fatalities per 100,000 population B. Since the sample size is small, the prediction is not appropriate. OC. Since all of hereurements for frdng the equation of the regression Ine are met, the prediction is worthwhile O D. Since common sense suggests there should not be much of a relašionship between the two variables, the prediction does not make much sense. 5. When making predictions based on regression lines, which of the following is not listed as a consideration? Choose the correct answer below O A. Use the regression ine for predictions only i he data go tar beyond the scope of the available B. Use the regression equation for predictions only if the graph of the regression ine on the O C. Use the regression equation for predictions only if the linear correlation coefficient r indicates sample data. scatterplot confirms that the regression line fits the points reasonably well that there is a linear correlation between the two variables. predicted value of a variable is its point estimate. appear to be useful for making predictions, the bestExplanation / Answer
Question 1
The positive correlation means that as the x value increaes, the y value will also increase and if the x value decreases, the y value will decrease. thus the correct answer is C
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