5. In a large class, the instructor ran a regression with the independent variable(x) as the grade on the first exam and the dependent variable(y) being the grade on the second exam. She found the equation to be: Y = 29.25 + .57X Knowing that your friend got a 78 on the first exam, what value would you predict she got on the second exam? a) 71.43 b) 72.57 c) 78.00 d) 73.71
Correlation
Correlation defines a relationship between two independent variables. It tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.
Linear Correlation
A correlation is used to determine the relationships between numerical and categorical variables. In other words, it is an indicator of how things are connected to one another. The correlation analysis is the study of how variables are related.
Regression Analysis
Regression analysis is a statistical method in which it estimates the relationship between a dependent variable and one or more independent variable. In simple terms dependent variable is called as outcome variable and independent variable is called as predictors. Regression analysis is one of the methods to find the trends in data. The independent variable used in Regression analysis is named Predictor variable. It offers data of an associated dependent variable regarding a particular outcome.
![5. In a large class, the instructor ran a regression with the independent variable(x) as the grade on the first exam and the
dependent variable(y) being the grade on the second exam. She found the equation to be:
Y = 29.25 + .57X
Knowing that your friend got a 78 on the first exam, what value would you predict she got on the second exam?
a) 71.43
b) 72.57
c) 78.00
d) 73.71
6. A test result is one that detects the condition when the condition is present is called.
a) True Negative
b) False positive
c) Sensitivity
d) True Positive
7. A test result is one that detects the condition when the condition is absent is called.
a) True Negative
b) False positive
c) Sensitivity
d) True Positive
TN
8. The proportion of positives that correspond to the presence of the condition is called. The formula is
TN + FP
a) Specificity
b) Predictive value positive
c) Sensitivity
d) Predictive value negative
9. A measurement the ability of a test to detect the condition when the condition is present is called. The formula is
ТР
TP + FN
a) Predictive value positive
b) Predictive value negative
c) Specificity
d) Sensitivity
10. A test result is one that does NOT detect the condition when the condition when the condition is present is called.
a) False Negative
b) False positive
c) True Negative
d) True Positive
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