<h3>
Answer: B) y = (1/28)x^2</h3>
Explanation:
p = focal distance = 7
the focal distance is from the vertex to the focus
The parabola opens upward (since the vertex is below the focus) so 'a' is positive and a = 1/(4p) = 1/(4*7) = 1/28
The vertex is (h,k) = (0,0)
Put this all together into the formula below and simplify
y = a(x-h)^2 + k
y = (1/28)(x - 0)^2 + 0
y = (1/28)x^2
Answer:
3x+72yx-12y^2
Step-by-step explanation:
hope this was helpful!
thanks for the lovely quote! <3
Answer:
what is tthe q again
Step-by-step explanation:
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.
The area is the product of the base length and height.
A = bh
221 yd² = b×(13 yd)
(221 yd²)/(13 yd) = b = 17 yd
The length of the corresponding base is 17 yd.
