If the relative frequencies being compared are 0.21 and 0.79, which conclusion is most likely supported by the data?
1 answer:
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Answer:
a)
We have a perfect linear relationship between the two variables
b)
Nowe we can find the means for x and y like this:
And we can find the intercept using this:
So the line would be given by:
c) For this case the slope indicates that for each increase of the number of hours in 1 unit we have an expected increase in the score about 6 units.
And the intercept 5 represent the minimum score expected for any game
Step-by-step explanation:
We have the following data:
Number of hours spent practicing (x) 0 0.5 1 1.5 2 2.5 3 3.5 4
Score in the game (y) 5 8 11 14 17 20 23 26 29
Part a
The correlation coefficient is given:
For our case we have this:
n=9
We have a perfect linear relationship between the two variables
Part b
Where:
With these we can find the sums:
And the slope would be:
Nowe we can find the means for x and y like this:
And we can find the intercept using this:
So the line would be given by:
Part c
For this case the slope indicates that for each increase of the number of hours in 1 unit we have an expected increase in the score about 6 units.
And the intercept 5 represent the minimum score expected for any game
Answer:
The monthly mortgage payment is $ 8306.58
Step-by-step explanation:
Given as :
The loan taken as $ 600,000
The rate of interest = 5.5 %
The time period = 30 Years
So, from compounded method
Amount = principal ×
or, Amount = $ 600,000 ×
Or, Amount = $ 600,000 ×
∴ Amount = $ 2990370.77
<u>Now for The monthly mortgage payment </u>
∵ Time period is 30 years
So , 30 years = 12 × 30 = 360 months
∴ Amount payment in monthly =$
Or, Amount payment in monthly =$ 8306.58
Hence The monthly mortgage payment is $ 8306.58 Answer