Answer:
Step-by-step explanation:
n = sample size = 5
a) Let us determine the sum





Now we can determine 




The estimate b of the slope β is the ratio of
and 


The mean is the sum of all value divide by number of values


The estimate a of the intercept is


General least square equation;

replace alpha by a = 3 and beta by b = 0.67 in general least equation
y = a + bx
195.9 + 0.67x
b)
<em>Scatter plot is shown in the attached file</em>
x is on the horizontal axis
y is n the vertical axis
The degree of freedom of regression is 1
because we use one variable s predictor variable

The degree of freedom of error is the sample size n decrease by 2

Total df is equal to the sum of seperate degree of freedom dfR and dfE
total df = 1 +3 4

Total SS =Syy= 45007.2
SSE + Total SS = SSR
= 45007.2 - 43146.9296
= 1860.2705
Answer:
The probability that she will have breast cancer is 0.2375.
Step-by-step explanation:
P(Positive if no Cancer) = 86.6/1000 = 0.0866
P(Positive if Cancer) = 1 − 1.1/1000 = 0.9989, and
P(Cancer) = 1/38 = 0.0263
If a woman between the ages of 50 and 59 has a positive mammogram, the probability that she will have breast cancer will be calculated by using the Bayes rule.
Bayes’s theorem describes the probability of an event.
P(Cancer if Positive) = 
= 
= 0.2375