In this scatter plot, is there a RELATIONSHIP/PATTERN between the x and y variables? a. Yes, there is a relationship/pattern. b. No, there is NOT a relationship, no pattern.
b. No relationship/No pattern.
In this scatter plot, is there a RELATIONSHIP/PATTERN between the x and y variables? a. Yes, there is a relationship/pattern. b. No, there is NOT a relationship, no pattern.
a. Yes, there is a relationship/pattern
In this scatter plot, is there a RELATIONSHIP/PATTERN between the x and y variables? a. Yes, there is a relationship/pattern. b. No, there is NOT a relationship, no pattern.
Yes, there is a relationship/pattern
In this scatter plot, is there a RELATIONSHIP/PATTERN between the x and y variables? a. Yes, there is a relationship/pattern. b. No, there is NOT a relationship, no pattern.
No pattern, no relationship
In this scatter plot, is there a RELATIONSHIP/PATTERN between the x and y variables? a. Yes, there is a relationship/pattern. b. No, there is NOT a relationship, no pattern.
Yes, there is a pattern. There is a relationship.
Is this scatter plot showing a POSITIVE linear correlation or a NEGATIVE linear correlation?
Positive linear correlation
Is this scatter plot showing a POSITIVE linear correlation or a NEGATIVE linear correlation?
Negative linear correlation
Is this scatter plot showing a POSITIVE linear correlation or a NEGATIVE linear correlation?
Positive Linear Correlation
Is this scatter plot showing a POSITIVE linear correlation or a NEGATIVE linear correlation?
Negative Linear Correlation
TRUE/FALSE?"least squares regression line" is also known as "the line of best fit"
TRUE
This scatter plot shows a POSITIVE correlation between the temperature (x) and the number of people at the pool (y). As the temperature INCREASES, the number of people at the pool ______________.
Also increases
This scatter plot shows a NEGATIVE correlation between the number of missed classes (x) and exam scores (y). As the number of missed classes INCREASES, the exam scores ______________.
DECREASE
The equation of the line of best fit for this scatter plot is: y=10x+45. Predict the exam score of a student (y) who studied 5 hours (x).
95
The equation of the line of best fit for this scatter plot is: y=10x+45. Predict the exam score of a student (y) who studied 3 hours (x).
75
The equation for residuals: Residual = Actual Y - Predicted Y. Calculate the residual:
1.29
