- Data in the table below are from 10
individuals with renal failure and their blood pressure. The predictor (X, independent, explanatory) variable,
SODIUM represents salt
consumption (in milligrams) and the response (Y, dependent) variable, BP represents systolic blood
pressure (in mmHg). The data file
sodium_bp is available on Canvas for download.

Note: Refer to regression sample code, copy, paste and modify
as necessary to complete this assignment.

sodium (mg) |
7 |
7.2 |
7.1 |
7.5 |
7.2 |
7.2 |
7.5 |
7.3 |
6.7 |
6.6 |

bp (mmHg) |
156 |
169 |
164 |
177 |
192 |
160 |
197 |
191 |
170 |
150 |

a)
Use
PROC IMPORT to import the data into SAS. Copy and paste here your SAS program and
SAS log.

b)
Use
PROC REG to run a model to determine the least squares regression line for
these data. Copy and paste here your SAS program, SAS log, and SAS output.

c)
Type
below the least squares regression line for the data. Provide an interpretation
of the slope.

d)
Calculate
the predicted BP for a person from this population that consumes 7.0 mg of
sodium per day?

e)
Calculate
the 95% confidence interval for slope parameter β. Use the information from the
model and use the t-table in the textbook on pages 545-547 to look up the
t-value.

f)
Using
information from your SAS output, conduct a t-test of slope coefficient. Use
information from the SAS output to calculate the test statistic. Remember to
include all hypothesis testing steps (hypotheses,
test statistic, p-value, statistical significance, and conclusion).

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