Answer:
-0.924
Step-by-step explanation:
The magnitude of the correlation coefficient is the square root of the variation.
|r| = √0.854
|r| = 0.924
The sign of the correlation coefficient is the same as the slope of the line of best fit. In this case, it's negative.
r = -0.924
Answer:
Sample spaces are for example, if I flip a coin and spin a wheel that has 1, 2, and 3 on it, the sample space would be {H1,H2,H3,T1,T2,T3}. So, sample spaces list the possibilities of a given set.
Answer: Yes.
Step-by-step explanation: if y=12, then 24-12=24 aka 24-y=12
Answer:
Statement D is correct.
Step-by-step explanation:
Solution:
Data Given:
Linear Regression Relationship = Speed = 10.3 + 5.4 (hour)
Linear Regression Relationship = y = mx + c
Here,
m = slope = 5.4
c = 10.3 = y - intercept
The correct Answer is D)
Because:
As, the residual value is positive, it means the typist attained faster speed than the model predicted. As we know, residuals is the result of difference between predicted values of the model and data values. On the contrary, if residual would be negative then we would say that typist speed is slower than the model predicted.
Hence, Statement D is correct.
An algebraic expression for this would be c(t)=0.25t+0.75.
c(t) = total cost
t = number of minutes
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