Question

In: Statistics and Probability

Identify the type of correlation coefficient apprpriate for measuring the relationship between X and Y :...

Identify the type of correlation coefficient apprpriate for measuring the relationship between X and Y :

1. X= sex (M or F); Y= income (dollars)
2. X= IQ (above of below 100); Y= GPA (above or below 60%)

Solutions

Expert Solution

Correlation coefficient is defined as the degree of linear relation between the variables,in other words,correlation is a statistical technique that can show whether and how strongly pairs of variables are related. Correlation coefficient (r) ranges from -1 to +1. The closer r is to +1 or -1, the more closely the two variables are related. If r is close to 0, it means there is no relationship between the variables. If r is positive, it means that as one variable gets larger the other gets larger. If r is negative it means that as one gets larger, the other gets smaller .

But sometimes though we get non zero value of correlation, but there exist no correlation logic wise between the variables.Such corelation is called sense less correlation.

1. X= sex and Y=income($)

Correlation coefficient is zero since there is no relationship between the sex of a person and his or her income. A male can earn more than female or a female can earn more than male. Or both can earn equal.

2.X=IQ and Y= GPA

There exist a positive value of correlation, since a student with good IQ will score better where as a student poor IQ might score bad .


Related Solutions

Which correlation coefficient is the most appropriate for measuring the relationship between Right/ Left Handedness and...
Which correlation coefficient is the most appropriate for measuring the relationship between Right/ Left Handedness and Reading Comprehension Scores? A. Spearman Rho B. chisquare C. phi coefficient D. point biserial How do you choose between Spearman Rho and Point Biserial? I am stuck between these two answers.
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
Explain why ρ is preferable to Cov(X,Y) in measuring the strength of relationship between X and...
Explain why ρ is preferable to Cov(X,Y) in measuring the strength of relationship between X and Y
Provided a detailed summary of what type of correlation coefficient would be calculated for the relationship...
Provided a detailed summary of what type of correlation coefficient would be calculated for the relationship between two continuous variables
For an inverse relationship between two variables, the sign of the correlation coefficient is "+" TRUE...
For an inverse relationship between two variables, the sign of the correlation coefficient is "+" TRUE OR FALSE
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...
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)...
1. The equation for the Pearson's correlation coefficient determines the strength of the linear relationship between...
1. The equation for the Pearson's correlation coefficient determines the strength of the linear relationship between two variables. Why does the equation include taking the variability of x and y separately? A. To assess any error between participants for both variables X and Y. B. Both to assess how spread out the scores are around the mean for variable X and the mean of variable Y and to assess any error between participants for both variables X and Y. C....
Calculate the coefficient of correlation, and interpret the result. (not from software or excel) X Y...
Calculate the coefficient of correlation, and interpret the result. (not from software or excel) X Y 1870 3.38 1330 1.16 1760 1.58 1520 2.65 1300 1.98 1520 2.39 1640 2.49 1490 2.81 1300 2.95 1360 1.69 1940 3.49 1730 2.8 1790 2.95 1780 3.8 1730 2.64 1380 2.36 1580 3.1 1900 1.96 1640 3.08 1540 2.24 1350 2.59 1380 2.43 1780 1.95 1700 2.07 1610 2.34 1720 3.59 2070 3.59 1210 2.12 1720 2.48 1510 2.37 1790 2.1 2100 2.55...
Using the data below find the linear correlation coefficient. x              y               xy    
Using the data below find the linear correlation coefficient. x              y               xy               x2               y2 3              4               12              9                 16 4             6                24              16               36 5             7               35              25               49 7            12              84              49               144 8            14              112             64               196 ___________________________________________ 27           43              267           163              441 Also, utilizing the above data, find the slope and intercept.
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT