The data below was taken from the fat (g) and sodium (mg) found in different types of food found at fast food restaurants. 39 39 1180 940 1260 19 31 34 35 43 y 920 1500 1310 860 a) Find the p-value to determine if there is a linear correlation between fat (g) and sodium (mg). Record the p-value below. Round to four decimal places. p-value = b) Is there a linear correlation between fat (g) and sodium (mg)? c) If there is a linear correation, write the correlation coefficient below. Otherwise, leave it blank. Round your final answer to four decimal places. d) If there is a linear correlation, write the regression equation below. Otherwise, leave it blank. Round all numbers to four decimal places. e) Using the data shown above, predict the the sodium found in fast food when the fat is 32 g. Round your final answer to two decimal places. f) If there is a linear correlation, what percentage of variation in sodium (mg) can be explained by fat (g)? If there is not a linear correlation, leave it blank. Round your final anwer to two decimal places.
The data below was taken from the fat (g) and sodium (mg) found in different types of food found at fast food restaurants. 39 39 1180 940 1260 19 31 34 35 43 y 920 1500 1310 860 a) Find the p-value to determine if there is a linear correlation between fat (g) and sodium (mg). Record the p-value below. Round to four decimal places. p-value = b) Is there a linear correlation between fat (g) and sodium (mg)? c) If there is a linear correation, write the correlation coefficient below. Otherwise, leave it blank. Round your final answer to four decimal places. d) If there is a linear correlation, write the regression equation below. Otherwise, leave it blank. Round all numbers to four decimal places. e) Using the data shown above, predict the the sodium found in fast food when the fat is 32 g. Round your final answer to two decimal places. f) If there is a linear correlation, what percentage of variation in sodium (mg) can be explained by fat (g)? If there is not a linear correlation, leave it blank. Round your final anwer to two decimal places.
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 2BGP
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Question
Transcribed Image Text:The data below was taken from the fat (g) and sodium (mg) found in different types of food found at fast
food restaurants.
19
31
34
35
39
39
43
_y 920
1310
860
1180 940 1260
1500
a) Find the p-value to determine if there is a linear correlation between fat (g) and sodium (mg). Record
the p-value below. Round to four decimal places.
p-value =
b) Is there a linear correlation between fat (g) and sodium (mg)?
c) If there is a linear correation, write the correlation coefficient below. Otherwise, leave it blank. Round
your final answer to four decimal places.
d) If there is a linear correlation, write the regression equation below. Otherwise, leave it blank. Round all
numbers to four decimal places.
e) Using the data shown above, predict the the sodium found in fast food when the fat is 32 g. Round your
final answer to two decimal places.
f) If there is a linear correlation, what percentage of variation in sodium (mg) can be explained by fat (g)?
If there is not a linear correlation, leave it blank. Round your final anwer to two decimal places.
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