Answer:
the equation of the least-squares line for the data is: 
Step-by-step explanation:
In a simple linear regression model, such as, 
, the coefficients bo and b1 are estimated through the method of least squares by the use of the equations:
For the data provided you have to:
, thus:
the equation of the least-squares line for the data is:
Answer:
Step-by-step explanation:
This is an arithmetic progression.
difference d = (-8) - (-2) = (-8) + 2 = (-6).
nth term = a + (n-1)d
Answer: b) The probability that an item produced by this process is defective is likely to be close to 0.15, but not exactly equal to 0.15.
Step-by-step explanation:
Given that:
Number of samples = 100
Number of defective samples = 15
Proportion =number defective samples / total samples
P = 15 / 100 = 0.15
Hence, the probability that an item produces is defective is 0.15.
However, due to sampling Variations, the probability will be corrected for these variations. Hence, probability that an item produced by this process is defective is likely to be close to 0.15, but not exactly equal to 0.15.
Answer: I = 778. 33
Step-by-step explanation:
P= 14413.49
R= 0.0015
T= 36
The formula for calculating interest is given as :
I = PRT
substituting the given values , we have :
I = 14413.49 x 0.0015 x 36
I = 778.32846
I = 778. 33
She can Hang up 4 posters. Because Taylor only has 16 tacks.
16/4=4
