a) for population millions the population the graph is strongly skewed right for skewed right graph you expect the mean to be greater than the median. the mean is 11.362 is not greater than the median. of 8.85
for % no insurance the graph is not symetric,for a aymetric graph you expect them to be equal, which they are not. the mean is not similar. 38.06 compared to 11.362
for population in millions the value of florida is 24.1 million people. this is not larger than both the mean and the median. florida is 19.01 is above the mean. as such there is a higher population than the national average
percant no insurance the value of florida 19.01% this is larger thanthe mean and the median florida is 0.75
c) since 0.28415512 is less than 0.080744134 there is ot evidence of a significant linear relationship
d)based on linear regression equation it is expected that florida would have 14.8 % of people with no insurance the residual observed expected is 4 % , this mean that florida perdiction is 14z below the actual value
e) the older the people the more likely they are to have insurance in this case.
Summary statistics:

Simple linear regression results:Dependent Variable: %Hispanic Independent Variable: MedianAge %Hispanic = 57.898258  1.2225793 MedianAge Sample size: 50 R (correlation coefficient) = 0.28415512 Rsq = 0.080744134 Estimate of error standard deviation: 9.899916 Parameter estimates:
Analysis of variance table for regression model:
