Answer:
100 degrees
Step-by-step explanation:
α=2θ
α=2(50)
α=100
I am confused, what is your question? It help me help you better if I know what the question is.
The amount of variance for y that is predicted by its relationship with x is 64%.
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How much variance is predicted?</h3>
Variance measures the rate of dispersion of a data point around the dataset. It can be calculated by finding the square of the standard deviation of a dataset. Variance measures the variation of a data set.
Correlation is a statistical measure used to measure the linear relationship that exists between two variables. The greater the correlation coefficient is closer to one, the greater the linear relationship that exists between the two variables. A positive correlation occurs when the two variables move in the same direction.
Variance = (correlation coefficient²) x 100
(0.80²) x 100
0.64 x 100 = 64%
To learn more about correlation, please check: brainly.com/question/27246345
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Answer:
in my words proportional means having equal portions lets say you cut a pizza into 4 separate pieces if you had 1 piece that was half and three pieces random that is not proportional but if you have 4 quarters that is proportional
Step-by-step explanation:
Answer:
Step-by-step explanation:
The formula to calculate the forecast could be determine by using the exponential smoothing method :
![Ft = F(t-1) + \alpha [A(t-1) - F(t-1)]](https://tex.z-dn.net/?f=Ft%20%3D%20F%28t-1%29%20%2B%20%20%5Calpha%20%5BA%28t-1%29%20-%20F%28t-1%29%5D)
Where ,Ft is the Forecast for period t
F(t-1) is the Forecast for the period previous to t
A(t-1) is the Actual demand for the period previous to t
= Smoothing constant
To get the forecast for may and june the above formula with 
and april forecast of 500 will be used
For march
For April
For May
So forecast for May = 536.25
