True or False 1)  The correlation coefficient of 0.6 has a stronger association than a correlation coefficient of -0.8 2)  The slope is the y value when x equals intercept. 3)  The standard error describes the differences b

X 29 88 96 123 Y 213 226 171 126 100 1) What is slope of the regression line predicting Y from X,rounded to 2 decimal places? 2) What is the intercept of the regression line predicting Y from X, rounded to 2 decimal places? 3) What is the correlation between X and Y, rounded to 2 decimal places? 47

Two variables have a positive linear correlation. Is the slope of the regression line for the variables positive or negative? A. The slope is negative. As the independent variable increases the dependent variable also tends to increase. B. The slope is negative. As the independent variable increases the dependent variable tends to decrease. C. The slope is positive. As the independent variable increases the dependent variable also tends to increase. D. The slope is positive. As the independent variable increases the dependent variable tends to decrease.

Explain in simple language why knowing only these correlations enables you to say that prediction of manatee deaths from number of boats registered by a regression line will be much more accurate than prediction of a golfer's second‑round score from his first‑round score. Select the correct explanation from the choices.   A) The closer r is to 0 (in either direction), the stronger the linear relationship is between two variables.   B) Actually, prediction of manatee deaths from number of boats registered by a regression line will be much less accurate than prediction of a golfer's second‑round score from his first‑round score.   C) The fraction of the variation in the observed values of x explained by the least‑squares regression of y on x is given by r. The higher this fraction, the more likely that the prediction is accurate.   D) The further r is from 0 (in either direction), the stronger the linear relationship is between two variables.

I’m taking a statistics and probability class. Please get this correct because I want to learn. I have gotten wrong answers on here before

What does a correlation coefficient of 2​ indicate? There is a weak relationship between the two quantitative variables.  It indicates a calculation​ error, as the correlation coefficient cannot be 2. There is a strong relationship between the two quantitative variables. It indicates a​ non-linear relationship between the two quantitative variables. There is no linear relationship between the two quantitative variables.

19. Which statement is correct?  (A) The correlation coefficient and the intercept of the regression line always have  the same sign.   (B) The slope and the intercept of the regression line always have the same sign. (C) The correlation coefficient and the intercept of the regression line always have  the same sign.  (D) The correlation coefficient and the slope of the regression line always have  the same sign.   If you feel the answer is none of the choices given, submit no answer to the question.

please fill in blank a) can be used, should not be used b)a linear correlation, any correlation c)do not require, require

If the estimated intercept of the regression equation is negative, we can say the estimated correlation coefficient between the two variables is also negative. O True O False

When two variables have a perfect linear relationship, the correlation coefficient is always 1.  True False