Answer:
Step-by-step explanation:
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:
$3027.80
Explanation:
The compound interest formula is the following.
where
A = final amount
P = principle amount
r = interest rate / 100
n = number of compounds per interval
t = time interval
Now in our case,
A = unknown
P = $1900
r = 10.4/100
n = 12 months / year ( because the interest is compounded monthly)
t = 4.5 yrs
Therefore, the compound interest formula gives
Using a calculator, we evaluate the above to get
which is our answer!