Given the data below, calculate by hand the coefficients a and b of the line-ofbest-fit using linear least squares regression. Determine the standard error (as defined by Wolfram) for both the coefficients. What transformations can you make to the data to improve the fit? Use a software tool to conduct the same fit and compare your results.
Time (min) Population Density
0.028
16 0.047
32 0.082
48 0.141

arithmetic sequence

step-by-step explanation:

given that a sequence has terms as

19, 15, 11,

this is represented on a graph

the pattern indicates that the sequence is an arithmetic sequence with i term

a=19 and common difference d =-4

any general term

thus the sequence is reduced by 4 for each successive term starting from 1 and nth term is

24-5n.

first negative term would start after 5th term

5th term =24-25< 0

from 5th term onwards the sequence would be negative.

alright well the answers to your question is

2xy/9 hope this have a nice day : )

step-by-step explanation: