What information about the houses that is not shown in this data could affect housing prices? check all of the boxes that apply.
1 answer:
The information about the houses that could affect housing prices are;
- location...
- size...
- the conditions...
- value of the...
prices serves as the amount of money expected or required for a payment of a value given.
Therefore, from base on the meaning of prices from economics, value of the houses relative to other homes in the same area can affect the price.
Learn more about prices at;
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Answer:
17 seeds remain
The equation:
Answer:
a)
b) r =-0.932
The % of variation is given by the determination coefficient given by and on this case
, so then the % of variation explained by the linear model is 86.87%.
Step-by-step explanation:
Assuming the following dataset:
Monthly Sales (Y) Interest Rate (X)
22 9.2
20 7.6
10 10.4
45 5.3
Part a
And we want a linear model on this way y=mx+b, where m represent the slope and b the intercept. In order to find the slope we have this formula:
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 b
For this case we need to calculate the correlation coefficient given by:
So then the correlation coefficient would be r =-0.932
The % of variation is given by the determination coefficient given by and on this case
, so then the % of variation explained by the linear model is 86.87%.