Answer:
Step-by-step explanation:
Hello!
Given the variables
Y: Cost of a previously owned Camry.
X: Mileage of a previously owned Camry.
Scatter plot in attachment.
As you can see in the scatter plot, the price of the previously owned Camry decreases as their mileage increases this suggest that there is a negative linear regression between these two variables.
Hypothesis test for the y-intercept
H₀: β₀ = 0
H₁: β₀ ≠ 0
Level of significance α: 0.01
p-value < 0.0001
The decision is to reject the null hypothesis. You can conclude that the population mean of the cost of a previously owned Camry, when the mileage is zero, is different from zero.
H₀: β = 0
H₁: β ≠ 0
Level of significance α: 0.01
p-value: 0.0003
The decision is to reject the null hypothesis. You can conclude that the population mean of the cost of a previously owned Camry is modified when the mileage increases in one unit.
It is a parallelogram, because it has 2 sets of parallel lines. The top and bottom are parallel to eachother and the side lines are parallel to each other.
Answer:
The answer is "
"
Step-by-step explanation:
While Luke is 5m to 2cm in size, it implies that every 2cm to Luke's drawing is 5m in real life. That real pond width must therefore be 5 m, given the fountain's width is 2 cm. As shown in the illustration, the step size for IsabelLa from the illustration to real life is 
, which makes it simple to multiply any measure in the cm of her illustration by 2 to accomplish the exact size in m. So, in another direction around, they just have to divide the value by 2, instead of the divide from reality for drawing. So if the actual worth is 5m, it ought to be 
in its width.
Answer:
t = 2.2450
d. 0.264
Step-by-step explanation:
The null hypothesis is:
Alternative hypothesis;
The pooled variance t-Test would have been determined if the population variance are the same.
The t-test statistics can be computed as:
t = 2.2450
Degree of freedom 
df = (8-1)+(8-1)
df = 7 + 7
df = 14
At df = 14 and ∝ = 0.05;
Decision Rule: To reject the null hypothesis if the t-test is greater than the critical value.
Conclusion: We reject 
and there is sufficient evidence to conclude that the test scores for contact address s less than Noncontact athletes.
To calculate r²
The percentage of the variance is;
Answer:
m = 0
Step-by-step explanation:
distribute
7 + 35m + 2m = 7 +2m
add 35m + 2m
7 + 37m = 7 + 2m
subtract 2 from 37m
7 + 35m = 7
subtract 7 from 7
35m = 0
0 ÷ 35 = 0
so technically the answer is 0
I'm not 100% sure but I do believe this is right
