Past data has shown that the regression line relating the final exam score and the midterm exam score for students who take statistics from acertain professor is:final exam = 50 + 0.5 x midtermOne interpretation of the slope isSelect one:O a. students only receive half as much credit (.5) for a correct answer on the final exam compared to a correct answer on the midterm examO b. a student who scored 0 on the midterm would be predicted to score 50 on the final examOca student who scored 10 points higher than another student on the midterm would be predicted to score 5 points higher than the otherstudent on the final examOd. a student who scored 0 on the final exam would be predicted to score 50 on the midterm exam.Oe. All of theseNext pageDage

regression equation is final exam = 50 + 0.5*mid term

Answered: st data has shown that the regression…

st data has shown that the regression lir tain professor is: nal exam = 50 + 0.5 x midterm %3D ne interpretation of the slope is elect one:

MATLAB: An Introduction with Applications

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Concept explainers

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.

Question

Past data has shown that the regression line relating the final exam score and the midterm exam score for students who take statistics from a
certain professor is:
final exam = 50 + 0.5 x midterm
One interpretation of the slope is
Select one:
O a. students only receive half as much credit (.5) for a correct answer on the final exam compared to a correct answer on the midterm exam
O b. a student who scored 0 on the midterm would be predicted to score 50 on the final exam
Oca student who scored 10 points higher than another student on the midterm would be predicted to score 5 points higher than the other
student on the final exam
Od. a student who scored 0 on the final exam would be predicted to score 50 on the midterm exam.
Oe. All of these
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