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Generated Mar 11, 2019 by bryanrq16

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. 

Result 1: Summary Statistics   [Info]

Summary statistics:

ColumnnMeanVarianceStd. dev.RangeMedianMaxMinQ1Q3IQR

Result 2: Histogram bar 1   [Info]
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Result 3: Boxplot   [Info]
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Result 4: Histogram bar 2   [Info]
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Result 5: Boxplot bar 1   [Info]
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Result 6: Scatter Plot   [Info]
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Result 7: Simple Linear Regression   [Info]

Simple linear regression results:

Dependent Variable: %Hispanic
Independent Variable: MedianAge
%Hispanic = 57.898258 - 1.2225793 MedianAge
Sample size: 50
R (correlation coefficient) = -0.28415512
R-sq = 0.080744134
Estimate of error standard deviation: 9.899916

Parameter estimates:

ParameterEstimateStd. Err.AlternativeDFT-StatP-value
Intercept57.89825822.707046 ≠ 0482.54979260.014
Slope-1.22257930.59541412 ≠ 048-2.0533260.0455

Analysis of variance table for regression model: