<span>Residual value is the difference between the observed value of the dependent variable (y) and the predicted value (ŷ) in a data set.
i.e. Residual value = given value - predicted value
From the table, the residual value corresponding to a has 4.1 as the given value and 4.5 as the predicted value.
Therefore, a = 4.1 - 4.5 = -0.4
Similarly, </span><span>the residual value corresponding to b has 7.2 as the given value and 7.05 as the predicted value.
Therefore, b = 7.2 - 7.05 = 0.15
</span>
Therefore, a = -0.4 and b = 0.15
Correct. It is only interested in the portion of the graph confined to this interval
Answer:
D alternate means on opposite sides of the transversal and exterior means outside the two parallel lines. You should have been given
Answer:
hello what grade is
Step-by-step explanation:
Answer:
Following are the answer to this question:
Step-by-step explanation:
Given:
n = 30 is the sample size.
The mean 
= 7.3 days.
The standard deviation = 6.2 days.
df = n-1
The importance level is 
= 0.10
The table value is calculated with a function excel 2010:
The method for calculating the trust interval of 90 percent for the true population means is:
Formula:
It can rest assured that the true people needs that middle managers are unavailable from 5,37 to 9,23 during the years.
