Please use MATLAB to answer the following question - this assignment is due tomorrow so I will rate with a thumbs up if you can answer this to the best of your ability, thanks

Project3-Ise.xlsx

45	100
60	150
45	56
20	66
15	72
35	87
44	56
0	25
5	60
10	50
44	63
87	150
15	50
55	125
35	88
47	102
56	110
30	66
47	78
48	85
85	200
71	160
84	170
66	120
77	123
85	181
74	110
68	110
91	220

Problem 2: Least Square Regression Least square regression is a powerful modeling technique to estimate the relation between two variables in a simple linear regression. For a simple linear regression model: bo b1x where y is the depended variable and x is the independent variable, the least square estimate of bo and bi are defined as folows: and Use the data projec3-lse.xlsx to do the following. i. Write a function called least square to do the work. The function reads the file project3- lse.xlsx data to do the work. Use column 1 of the file as x and column 2 as y. ii. Use a for loop to generate the table below iii. Use the polynomial you developed above to predict the value of y when x 44. Problem 2: Least Square Regression Least square regression is a powerful modeling technique to estimate the relation between two variables in a simple linear regression. For a simple linear regression model: bo b1x where y is the depended variable and x is the independent variable, the least square estimate of bo and bi are defined as folows: and Use the data projec3-lse.xlsx to do the following. i. Write a function called least square to do the work. The function reads the file project3- lse.xlsx data to do the work. Use column 1 of the file as x and column 2 as y. ii. Use a for loop to generate the table below iii. Use the polynomial you developed above to predict the value of y when x 44