The SAT this year has a mean of 500 and a standard deviation of 50. What percent of students scored between 400 and 600?This is equivalent to a score of 500 ± 2 SD (2 standard deviations)= 0.9545
<span>hopes this helps :) :D :)</span>
78
because 5 times 2 equals 10 so then u times 39 times 2 and get 78
/THe value of 1 is 100 is related to the value of 900 in the second number.
Answer:
Step-by-step explanation:
The radius of each lollipop is 121212 mm
We need to find the volume of each lollipop. The volume of a sphere is given by :
Put all the values,
So, the volume of each lollipop is equal to 
.
Answer:
Check the explanation
Step-by-step explanation:
The multiple coefficient of determination, denoted R2, is the ratio of the sum of squares due to regression to the total sum of squares.
The R2 for the new regression is 63209/121222=0.52 (A), indicating that the new estimated multiple regression equation explains 52% (B) of the variability of digital camera sales.
The sum of squares due to error divided by the total sum of squares is 58013/121222=0.4785=0.48 (B), and 1 minus this ratio is 1-0.48=0.52 (B).
The adjusted multiple coefficient of determination, denoted by R2a, for the new regression is 1-[(1-r^2)(n-1/n-k-1)]=0.45 (C).
The mean square due to error divided by the total mean square is 2072/3788=0.5469=0.55 (A) , and 1 minus this ratio is 1-0.55=0.45 (C).
In general, adding independent variables to a multiple regression model reduces the sum of squares due to error (C). The multiple coefficient of determination increases (C), and the adjusted multiple coefficient of determination could either increase or decrease (C).
Adding the independent variable x4 to the multiple regression model increases (B) the multiple coefficient of determination and increases (A) the adjusted multiple coefficient of determination.
