In this final activity, you will create a 2-page brief depicting the state of mental health in your local community, capacity to respond, and a list of recommendations to improve local capacity. To complete the list of recommendations, you will need to complete an inventory of the mental health services provided within your local community. In creating this inventory, supply the name, methods of contact, hours of operation, and indicate the range of mental and behavioral health services offered. 

The specific steps are as follows:

Conduct independent research on mental health services provided within your local community.
Create an inventory of the mental health services provided within your local community. In creating this inventory, include the following information:
Name of the provider
Methods of contact
Hours of operation
Specific mental and behavioral health services offered
Create a 2-page brief depicting the state of mental health in your local community, capacity to respond, and a list of recommendations to improve local capacity.
Use no fewer than 4 resources.

I’m looking for someone to write me a matlab code for this project please let me know if you can. The project is this:

The attached text file contains about 1,000 test results (from Prof. I-Cheng Yeh, Chung-Hua Univer- sity, Taiwan) on the strength of concrete with different mixture compositions and curing times.
The goal of regression here is to predict the concrete strength (x9) as a function of the other variables, so that concrete of the required strength can be made with less trial and error. The variables are:
x1 = cement content (kg per m3)
x2 = slag content (kg per m3)
x3 = fly ash content (kg per m3)
x4 = water content (kg per m3)
x5 = superplasticizer content (kg per m3) x6 = coarse aggregate content (kg per m3) x7 = fine aggregate content (kg per m3) x8 = curing time (days)
x9 = concrete compressive strength (MPa).
Fit each of the following function classes using least squares:
x9 as a (a) linear, (b) quadratic, or (c) cubic polynomial function of x1;
(d) x9 as a linear combination of x1, x2, x3, …x8, i.e. x9 1×1 + 2×2 + 3×3 +…+8×8
(e) x9 1(1 exp(x8/2))
(f)x9 1×1+2×2+…+6×6+7×7+8(1exp(x8/9))
(e-f require nonlinear least squares fitting)
Make a table of RSS, R2, number of parameters, and AIC for cases a-f. Based on your results, what do you conclude about the best regression function for concrete compressive strength?