Step-by-step explanation:
1. 
multiply
do both the numerator and denominater
Answer:
The forecast is accurate within plus or minus 3.2 units
Step-by-step explanation:
Mean Absolute Deviation is a statistical measure of dispersion from forecast. It measures accuracy level of predicted forecast, by averaging the difference between absolute value of each error from forecasted value.
MAD for a forecast states that : Forecast is accurate within the expected range variation of Mean Absolute Deviation.
So : If the MAD for a forecast is 3.2, we can say that - The forecast is accurate within plus or minus 3.2 units
Answer:
It mean that the observed progeny is similar than the expected progeny. There is no a relationship between the categorical variables.
Step-by-step explanation:
The Chi-squared test is used to test the relationship between categorical variables. A categorical variable is a non-numerical variable. The null hypothesis of the Chi-squared test is that categorical variables are independent; it means that the frequencies are not dependent on the variable. It is important to know that the Chi-squared test does not measure causality, it only measures the relationship. To reject the null hypothesis, you usually need a probability lower than 0.05, but in this case, the probability was way higher than 0.05, it was between 0.5 and 0.9.
Answer:
wet by solar..................
Answer:
-75 and -77
Step-by-step explanation:
This can be wrote as 
. Combine like terms and subtract 2 from both sides to get 
. Divide by two to get 
and then add two to get -75.
