Answer:
-60 ; -0.9689
Step-by-step explanation:
Given the data:
xi 4 6 11 3 16
yi 50 50 40 60 30
The scatter diagram indicates a linear negative relationship between x and y. Thia is indicated by the negative direction of the trend line.
Sample covariance formula:
Σ(x-xi)(y-yi) / n - 1
Using calculator : sample covariance = - 60
The variables have negative covariance meaning an increase in one variable leads to a corresponding decrease in the other.
Sample correlation Coefficient : -0.9689
This shows that a very strong negative correlation exists between both variables. Because the correlation coefficient value is very close to - 1.
Answer: C
Step-by-step explanation:
I got it right
C
Answer:
1. Undefined slope 2.y<2x-5 3.30x+515
Step-by-step explanation:
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Answer:
Step-by-step explanation:
The larger the sample size, the lower the standard deviation. The standard deviation shows how the data is spread from the mean. Therefore, benefit of increasing the sample size when trying to estimate the mean from a sample average are
a. A reduction in the bias of the estimate.
b. A reduction in the variability of the estimate.
The width of confidence interval is determined by the margin of error
Margin of error = z × s/√n
A smaller standard deviation and increased size would result to a narrower confidence interval. Therefore, increasing the sample size does not result to an increase in the width of the resulting confidence interval.
