
recall, the slope-intercept form is just y = mx + b
10s^2-15s+20 because 5(2s^2)=10s^2, 5(-3s)=-15s, and 5(4)=20.
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%.
Smallest number of cakes that each would have decorated is 18.
Answer:
0
Step-by-step explanation:
The probability of picking one red bean out of total 50 beans (one red and 49 whites). = 1/50
Now, chances of picking the one red bean out of a bag with 1 red bean and 49 white beans twice in a row is case of conditional probabilty where we can use the Product Rule of Probability
= 1/50*0/49 = 0 [ There is only one red and it is ready picked in the first draw]