1. The average normal daily temperature ( in degree Celsius) and the corresponding average monthly precipitation( in inches ) for the month of June are shown below for seven randomly selected cities. Compute for the value of r, complete the table with the needed information. Temperature(x) 30 27 28 32 27 23 18 Precipitation(y) 3.4 1.8 3.5 3.6 3.7 1.5 0.2 2. A law enforcement officer obtained data on the performance rating of the police offices
1. The average normal daily temperature ( in degree Celsius) and the corresponding average monthly precipitation( in inches ) for the month of June are shown below for seven randomly selected cities. Compute for the value of r, complete the table with the needed information. Temperature(x) 30 27 28 32 27 23 18 Precipitation(y) 3.4 1.8 3.5 3.6 3.7 1.5 0.2 2. A law enforcement officer obtained data on the performance rating of the police offices
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section4.5: Correlation And Causation
Problem 2AGP
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Directions: Solve the following problems carefully. After solving for the r-value find also a.) slope of the regression line, b.) the intercept of the regression line, c.) the general equation for simple regression, d.) graph the regression line.
Transcribed Image Text:1. The average normal daily temperature ( in
degree Celsius) and the corresponding
average monthly precipitation( in inches ) for
the month of June are shown below for seven
randomly selected cities. Compute for the
value of r, complete the table with the needed
information.
Temperature(x) 30 27 28 32 27 23 18
Precipitation(y) 3.4 1.8 3.5 3.6 3.7 1.5 0.2
2. A law enforcement officer obtained data on
the performance rating of the police offices
and the crime solution efficiency in their
respective areas of responsibilities for the
last 6 months. The data are shown below,
find the value of r by completing the table.
Performance
rating (x)
85 89 91 93 84 89
Crime rate(y) 89 90 92 92 88 90
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