1. What is the response variable? evening high tide levels 2. What is the regression line equation? (Round each value to the nearest hundredth, if necessary.) y = 3. We can expect the PM high tide on January 4 to be approximately feet. (Round to the nearest tenth, if necessary.) This is an example of X <

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The following data are the morning and evening high tide levels for Charleston, SC from January 1-14,2017. The information for the PM high tide for January 4 is missing. Create a scatter plot. Find the regression line and use it to estimate the PM high tide for January 4. Then find the correlation coefficient. (NOTE: The first column identifies the day. This data will not be used in the scatter plot.)

Day AM High (in feet), x PM High (in feet), y
1
5.6
4.8
2
4.8
3
4
5
6
7
8
9
10
11
12
13
14
5.5
5.4
5.2
5.0
5.2
5.4
5.7
6.0
6.3
6.4
6.5
6.4
6.2
4.9
5.1
5.0
4.9
5.0
5.1
5.3
5.4
5.4
5.4
5.3
Transcribed Image Text:Day AM High (in feet), x PM High (in feet), y 1 5.6 4.8 2 4.8 3 4 5 6 7 8 9 10 11 12 13 14 5.5 5.4 5.2 5.0 5.2 5.4 5.7 6.0 6.3 6.4 6.5 6.4 6.2 4.9 5.1 5.0 4.9 5.0 5.1 5.3 5.4 5.4 5.4 5.3
1. What is the response variable? evening high tide levels
2. What is the regression line equation? (Round each value to the nearest
hundredth, if necessary.) y =
3. We can expect the PM high tide on January 4 to be approximately
feet. (Round to the nearest tenth, if necessary.) This is an
example of
4. The correlation coefficient is (round to the nearest hundredth)
X
means that there is moderate
the AM and PM tide levels.
This value
◆ correlation between
5. Change the regression model from linear to test and see if an
exponential or a quadratic function is a better fit for this data set. It
appears that the quadratic function is a better fit.
6. Use the new equation to estimate the value of the PM high time on
January 4. The estimated PM high tide is
(Round to the
nearest tenth, if necessary.)
Transcribed Image Text:1. What is the response variable? evening high tide levels 2. What is the regression line equation? (Round each value to the nearest hundredth, if necessary.) y = 3. We can expect the PM high tide on January 4 to be approximately feet. (Round to the nearest tenth, if necessary.) This is an example of 4. The correlation coefficient is (round to the nearest hundredth) X means that there is moderate the AM and PM tide levels. This value ◆ correlation between 5. Change the regression model from linear to test and see if an exponential or a quadratic function is a better fit for this data set. It appears that the quadratic function is a better fit. 6. Use the new equation to estimate the value of the PM high time on January 4. The estimated PM high tide is (Round to the nearest tenth, if necessary.)
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