Answer:
7.67
Step-by-step explanation:
Given the data :
Week_sales_Forecast ___|error|_ |error|²
1 _____15
2 ____ 16
3 ____ 19
4 ____ 18
5 ____ 19 ____ 17 _______ 2____4
6 ____ 20 ___ 18 ________2____4
7 ____ 19 ____19 ________0____0
8 ___ 22 ____ 19 ________3____9
9 ___ 15 ____ 20 ________5___ 25
10 __ 21 _____19 ________ 2 ___ 4
Mean squared error :
(4 + 4 + 0 + 9 + 25 + 4) / 6
= 46 / 6
= 7.666
= 7.67
F ( x ) = x + 4
x = 3 p
f ( 3 p ) = 3 p + 4
Answer. D )
The ordered pair is:
( x, y ) = ( 3 p, 3 p + 4 )
Thank you.
Answer:
1 it's a parabola
Step-by-step explanation:
Answer:
95.44%
Step-by-step explanation:
Mean rate (μ) = 160 euros
Standard deviation (σ) = 8 euros
For any given rate, X, the z-score is:

For X = 144 euros:

For X= 176 euros

In a standard distribution, a z-score of -2 corresponds to the 2.28th percentile, while a z-score of 2 corresponds to the 97.72th percentile.
Therefore, the percentage of hotels with rates between 144 and 176 euros is:
