required excel data: https://www.mediafire.com/file/2v6i9663zmrmdzm/Data.xlsx/file

1. Make a scatter diagram of mhealth and urate; and mhealth and irate. What sort of relationship do you find? Do a regression of mhealth (dependent variable) on urate (independent). What does the coefficient of urate tell you, interpret it? Is it statistically significant at or = 0.05? Now, add irate to the regression in 2) and interpret the coefficients of urate and irate. Are both of these coefficients significant at or = 0.05? What can you conclude about the overall fit of the model? An important variable excluded from the model is the population's earnings that can have an impact on health cost. 80 you are given another variable, average hourly earnings (heam), in the data set. IncludeI it in the regression model in 3. and interpret the coefficients of urate, irate and hearn. Are these coefficients significant at or = 0.05? Is this model a better fit than the regression in b? What do you conclude about the overall fit of the model