Answer:
Both variables Can tell you the degree to which a linear relationship exists between two variables.
Step-by-step explanation:
Correlation and regression are two statistical concepts that are closely related and complement each other. They are powerful tools used in modern-day machine learning and artificial intelligence.
Correlation evaluates the linear relationship between two variables, using regression as a tool to assess the degree at which a dependant variable changes ( either increasing or decreasing ) based on the value of an independent variable.
The correlation coefficient is the degree of the linear relationship between two variables, ranging from zero ( for non-linear) to one ( for highly linear).
Answer:
240
Step-by-step explanation:
Answer:
Afternoon class has more students.
Step-by-step explanation:
Let m be the number of students in the morning class and n be the number of students in the afternoon class.
The average score for the students in the morning class was 80, then the sum of their scores is 
The average score for the students in the afternoon class was 86, then the sum of their scores is 
The sum of the scores of both classes is
and the average score is
The average (arithmetic mean) score for the two classes combined was 84, then
This means n is greater, so afternoon class has more students.
Answer:
I'm pretty sure it's D
Step-by-step explanation:
....
