3 times: Rate, Rate of change and Slope.
The amount of variance for y that is predicted by its relationship with x is 64%.
<h3>
How much variance is predicted?</h3>
Variance measures the rate of dispersion of a data point around the dataset. It can be calculated by finding the square of the standard deviation of a dataset. Variance measures the variation of a data set.
Correlation is a statistical measure used to measure the linear relationship that exists between two variables. The greater the correlation coefficient is closer to one, the greater the linear relationship that exists between the two variables. A positive correlation occurs when the two variables move in the same direction.
Variance = (correlation coefficient²) x 100
(0.80²) x 100
0.64 x 100 = 64%
To learn more about correlation, please check: brainly.com/question/27246345
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Answer:
1 3/5
Step-by-step explanation:
The number 1.6 can be writen using the fraction 16/10 which is equal to 8/5 when reduced to lowest terms.
It is also equal to 1 3/5 when writen as a mixed number.
You can use the following approximate value(s) for this number:
1.6 =~ 1 1/2 (if you admit a error of -6.25%)
A) Let C = Total cost
C = 1.085
b/c) - you need the price of the product you are buying
