If the null hypothesis,
is rejected, then we can conclude that the correlation coefficient is significant. This means that there is enough evidence to conclude that a relationship exists between the two (or more) variables involved in the regression.
Answer:
type=positive
Correlation refers to the degree of correspondence or relationship between two variables.
Y=Mx+B -> slope intercept form
The answer would be -3y=-5x-9
Divide the -3 on both sides and you get
y=5/3x+3
B
The answer is b. Because you x can be a negative, but you’re squaring it so it will equal a positive, and if you add 4, it is still 4 or greater
