Multiple linear regression using 8 predictor variables?!

Hi, I have been asked to predict the compressive strength of concrete using 8 variables, that all influence this value. I have plotted each individually and seen how each individual predictor variable influences the response variable, however I have been asked to develop a model that can predict the concrete strength using all variables. I have loaded all the data in with the following terms: cement-content, furnace, fly, water, superplas, coarse, fine, age, and my y value is simply compressivestrength. Is it even possible to use all 8 variables? If so, can someone please help me get on the right track? Thanks, currently using R2018a

Answer 1

[KSSV]

Read about regress

https://in.mathworks.com/help/stats/regress.html