Question

In: Statistics and Probability

Which implies a stronger linear relationship, a correlation of +0.7 or a correlation of −0.9?

Which implies a stronger linear relationship, a correlation of +0.7 or a correlation of −0.9?

Solutions

Expert Solution

correlation of −0.9 implies a stronger linear relationship. Because it has more absolute value.                                                                                                                                                                                                                                                                                                                                                                                                                                                         


Related Solutions

A linear correlation coefficient of 0.92 suggests a ________________ linear relationship than a linear correlation coefficient...
A linear correlation coefficient of 0.92 suggests a ________________ linear relationship than a linear correlation coefficient of -0.86. The value of the ___________________ always lies between -1 and 1, inclusive. If the linear correlation coefficient of the regression line is negative, then the ____________________ of the least squares (linear) regression line must be negative. Give a detailed interpretation of the slope of a least squares (linear) regression line. Give a detailed interpretation of the intercept of a least squares (linear)...
A linear relationship exists between 2 quantitative variables. The correlation coefficient is -0.14. Which of the...
A linear relationship exists between 2 quantitative variables. The correlation coefficient is -0.14. Which of the following is true? A transformation should be done to try to make the correlation coefficient positive and closer to 1. There is no evidence to indicate a relationship exists between the two variables because of the negative correlation coefficient. This indicates a strong relationship between the two variables. This indicates a weak relationship between the two variables. This is impossible as correlation coefficients can’t...
A high value of the correlation coefficient r implies that a causal relationship exists between x...
A high value of the correlation coefficient r implies that a causal relationship exists between x and y. Question 10 options: True False
Which of the following correlation values represents the strongest linear relationship between two quantitative variables? A)-1.0...
Which of the following correlation values represents the strongest linear relationship between two quantitative variables? A)-1.0 B) 0 C) .90 D) -.68 A set of test scores are normally distributed. Their mean is 100 and the standard deviation is 120. These scores are converted to standard normal z-scores. What would be the mean and median of this standardized normal distribution? A) 1 B) 0 C) 100 D) 50 Suppose the correlation between two variables, math attitude (x) and math achievement...
1. The linear correlation coefficient r measures of the linear relationship between two variables. (a) Distance...
1. The linear correlation coefficient r measures of the linear relationship between two variables. (a) Distance (b) size (c) strength (d) direction 2. 10 pairs of sample data were obtained from a study which looked at household income and the number of people in the household who smoked (cigarettes). The value of the linear correlation coefficient r was computed and a result of - 0.989 was obtained. All of the following (below) are conclusions that can be drawn from the...
1. The linear correlation coefficient r measures of the linear relationship between two variables. (a) Distance...
1. The linear correlation coefficient r measures of the linear relationship between two variables. (a) Distance (b) size (c) strength (d) direction 2. 10 pairs of sample data were obtained from a study which looked at household income and the number of people in the household who smoked (cigarettes). The value of the linear correlation coefficient r was computed and a result of - 0.989 was obtained. All of the following (below) are conclusions that can be drawn from the...
1. The linear correlation coefficient r measures of the linear relationship between two variables. (a) Distance...
1. The linear correlation coefficient r measures of the linear relationship between two variables. (a) Distance (b) size (c) strength (d) direction 2. 10 pairs of sample data were obtained from a study which looked at household income and the number of people in the household who smoked (cigarettes). The value of the linear correlation coefficient r was computed and a result of - 0.989 was obtained. All of the following (below) are conclusions that can be drawn from the...
1. The linear correlation coefficient r measures of the linear relationship between two variables. (a) Distance...
1. The linear correlation coefficient r measures of the linear relationship between two variables. (a) Distance (b) size (c) strength (d) direction 2. 10 pairs of sample data were obtained from a study which looked at household income and the number of people in the household who smoked (cigarettes). The value of the linear correlation coefficient r was computed and a result of - 0.989 was obtained. All of the following (below) are conclusions that can be drawn from the...
The correlation coefficient is a unitless measure of the strength of the linear relationship between two...
The correlation coefficient is a unitless measure of the strength of the linear relationship between two quantitative variables a unitless measure of the strength of the linear relationship between two categorical variables measured in the same units as the larger quantitative variable measured in the same units as the smaller quantitative variable A random sample of 15 weeks of sales (measured in $) and 15 weeks of advertising expenses (measured in $) was taken and the sample correlation coefficient was...
How are linear correlation and rank correlation alike? How are linear correlation and rank correlation different?
How are linear correlation and rank correlation alike? How are linear correlation and rank correlation different?
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT