The scatter plot presents Ray’s monthly electricity bills and the amount of time Tay spent at home from January through August.
2 answers:
Answer:
0.9168
4th data point.
Step-by-step explanation:
Using the estimated data point culled from the attached graph, the correlation Coefficient for the plotted regression data should be approximately 0.9168 which depicts that a strong positive correlation exists between the Electricity bill ($) and the time spent at home because the Coefficient obtained is very close to 1. And the measure if the strength of a relationship using the correlation Coefficient is how close the R value is to either ±1.
The electricity bill that should be ignored to improve the correlation Coefficient is the 4tg data point on the graph as it is farthest away from the regression line when compared to other points.
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Answer:
A) $192
Step-by-step explanation:
Given:
Yearly expense of Car insurance = $1130
Yearly expense of Vacation = $700
Yearly expense of home repairs = $468
we need to find the monthly allowance of Clark family.
First we find the total annual expense of Clark family.
Total Annual expense is equal to sum of Yearly expense of Car insurance and Yearly expense of Vacation and Yearly expense of home repairs.
Framing in equation form we get;
Total annual expense =
Now we know that;
Number of months in a year = 12 months.
Total Monthly allowance will be equal to Total annual expense divided by Number of months in year.
Framing the equation we get;
Total Monthly allowance =
Rounding to nearest dollar we get;
Total Monthly allowance of Clark family is $192.