Answer:
The value of the coefficient of determination is 0.263 or 26.3%.
Step-by-step explanation:
<em>R</em>-squared is a statistical quantity that measures, just how near the values are to the fitted regression line. It is also known as the coefficient of determination.
A high R² value or an R² value approaching 1.0 would indicate a high degree of explanatory power.
The R-squared value is usually taken as “the percentage of dissimilarity in one variable explained by the other variable,” or “the percentage of dissimilarity shared between the two variables.”
The R² value is the square of the correlation coefficient.
The correlation coefficient between heights (in inches) and weights (in lb) of 40 randomly selected men is:
<em>r</em> = 0.513.
Compute the value of the coefficient of determination as follows:

Thus, the value of the coefficient of determination is 0.263 or 26.3%.
This implies that the percentage of variation in the variable height explained by the variable weight is 26.3%.
<u>Answer:</u>
The correct answer option is A. positive.
<u>Step-by-step explanation:</u>
When an exponent or a power is an even number and the base is a negative number, the value is always positive.
Suppose we have a negative base
and a power which is even, lets say,
so what we get is a positive value.

Therefore, a negative base with even power is always a positive value.
The formula to find density is Mass/Volume
We have
Density =

Volume =

Hence
Mass = 7.8×10504 = 81931.2 gram
Answer:
$16,700
Step-by-step explanation:
Subtract: 38428
<u>-21728</u>
16700
You will need to add 10 to the hundred's place by subtracting 1 from the thousandth's place: 37,4(+10)28. Then you subtract as usual.
If the square has sides of 6 the circle has a radius of 3 so it's area is 9pi