Explain why it is true that the slope of a line is related to the Pearson correlation statistic, r.
Explain why it is true that the slope of a line is related to the Pearson...
Explain why it is true that the slope of a line is related to the Pearson correlation statistic, r.
2 pts. when regression line has no slope, we can still predict Y from X because the line still has a y intercept. A. True B. False 34. 2 pts. Can we infer causality between two variables solely on the basis of their correlation? A. Yes, we can infer causality. B. No, we cannot infer causality. 35. 2 pts. Which of the following is the fundamental task of regression? A. Correctly plotting all of the points on a scatter plot....
True or False: The slope of a line representing a single phase on a heating curve is related to the heat capacity.
Question 6A regression line can be used to determine the strength of a relationship. determine if there is a cause and effect relationship. predict Y for any X value. establish if a relationship is linear. Question 7 If the correlation coefficient R between two variables is ,it is expected that the slope of the regression line will be positive; positive positive; large negative; small positive; negative Question 8 If the slope of the simple regression line is .12, then the Pearson correlation coefficient r is expected to be positive negative small large
True or false: 1) If X and Y are standardized, then fit a linear regression line of standardized Y on standardized X, correlation between X and Y equals the slope of regression line. 2) If one calculates r for a set of numbers and then adds a constant to each value of one of the variables, the correlation will change. 3) The easiest way to determine if a relationship is linear is to calculate the regression line. 4) If the...
Is the following statement true or false? The Pearson correlation coefficient is a scaled (i.e., standardized) version of the covariance. True False
Question 1:explain how slope of a line formula works and origin of the slope of a line formula with supported correct facts
True or false?: 1) If X and Y are standardized, then fit a linear regression line of standardized Y on standardized X, correlation between X and Y equals the slope of regression line. 2) If one calculates r for a set of numbers and then adds a constant to each value of one of the variables, the correlation will change. 3) The easiest way to determine if a relationship is linear is to calculate the regression line. 4) If the...
Explain the meanings of this Pearsons correlation Correlations Square Foota ge ListPrice N Square Footage Pearson Correlation 1 .841* Sig. (2-tailed) .000 245 245 ListPrice Pearson Correlation Sig. (2-tailed) .000 245 245 **. Correlation is significant at the 0.01 level (2-tailed). .841**
True or False: if the r(correlation coefficient) is closer to 1, the slope(beta) will be larger to reflect a stronger linear relationship between X and Y .