have dataset that contains a random sample of people currently living at Kendal Retirement Home. Kendal is a place for generally healthy senior citizens to retire.Kendal is a very nice retirement home; it is one of the most expensive retirement homes in Ithaca. Everyone in Kendal is over 70 years old. There are two variables in the dataset: blood pressure and blood sodium levels. I present both the summary statistics and a regression of blood pressure on sodium

. summ

Variable | Obs Mean Std. Dev. Min Max

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blood_pres | 101 131.0 14.0 110 188

sodium | 101 139.0 6.0 125 15

. reg blood_pres sodium

Source | SS df MS Number of obs = 101

-------------+------------------------------ F(1, 98) = 26.28

Model |4117.06243 1 4117.06243 Prob > F =0.0000

Residual |15350.8976 99 156.641812 R-squared =0.2115

-------------+------------------------------ Adj R-squared = 0.2034

Total | 19467.96 100 196.646061 Root MSE = 12.516

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blood_pres | Coef. Std. Err. t P>|t| [95% Conf. Interval]

-------------+----------------------------------------------------------------

sodium | 1.078889 .2104442

_cons |-18.99638 29.28061

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Healthy blood pressure is defined as between 120 and 130. What is the probability that the mean blood pressure of all Kendal residents is 130 or less?