Question
In: Math
Provide two columns of data that are related and demonstrate the Excel Scatterplot Correlation and Regression...
Provide two columns of data that are related and demonstrate the Excel Scatterplot Correlation and Regression methodology. Which is the Independent and Dependent variable?
Solutions
Expert Solution
Following data of two variables: height and weight of 6 persons:
| Serial no. of Persons | Height (in cm) | Weight (in Kg) |
| 1 | 162 | 58 |
| 2 | 165 | 60 |
| 3 | 167 | 65 |
| 4 | 168 | 67 |
| 5 | 170 | 72 |
| 6 | 175 | 75 |
Here height is an independent variable and Weight is a dependent variable.
Now
we add regression line to the scatter plot.
milcah answered 9 months agoRelated Solutions
Using your preferred technology format (StatCrunch, Statdisk, Excel), generate a scatterplot for these two data sets....
Using your preferred
technology format (StatCrunch, Statdisk, Excel), generate a
scatterplot for these two data sets. Based on the graph, do you
believe the two sets are correlated?
Now, complete a
hypothesis test to test the claim that the course rating and the
professor rating are correlated. Explain your conclusion in
statistical and non-statistical terms and how you arrived at that
conclusion. You should include your null and alternative hypothesis
(in English and in symbolic form), your significance level, whether...
Regression Equation: Y' 1.15X+ -5.688 Display the data with a scatterplot inserting a regression line. Make...
Regression Equation:
Y' 1.15X+ -5.688
Display the data with a scatterplot inserting a regression line.
Make comments on the arrangements of the points
Predicted values of Y: 0.062, 1.212, 2.362, 2.362, 2.362, 3.512,
3.512, 3.512, 3.512, 4.662
Residual: 0.938, -0.212, -0.362, -0.362, -0.362, -1.512, -0.512,
-0.512, 1.488, 1,338
Use the given data to find the equation of the regression line. Examine the scatterplot and...
Use the given data to find the equation of the
regression line. Examine the scatterplot and identify a
characteristic of the data that is ignored by the regression
line.
x
44
1212
99
77
33
1111
1010
88
55
1313
66
y
3.643.64
8.448.44
9.309.30
8.108.10
1.441.44
9.089.08
9.369.36
8.888.88
5.485.48
7.447.44
6.966.96
Use the given data to find the equation of the regression line. Examine the scatterplot and...
Use the given data to find the equation of the regression line.
Examine the scatterplot and identify a characteristic of the data
that is ignored by the regression line.
x y
9 7.7
7 6.58
13 13.22
10 6.93
12 7.56
14 9.01
7 6.28
4 5.18
11 8.46
8 6.68
5 5.48
Use the given data to find the equation of the regression line. Examine the scatterplot and...
Use the given data to find the equation of the regression line.
Examine the scatterplot and identify a characteristic of the data
that is ignored by the regression line.
x
66 5 10 9 7 11 8 12 14 15 13
y
4.19 2.42 8.22 7.67 5.66 8.47 6.81 8.41 7.39 6.42 8.06
y with caret =__+__x
(Round to two decimal places as needed.)
Create a scatterplot of the data. Choose the correct graph
below.
Identify a characteristic of the...
Use the given data to find the equation of the regression line. Examine the scatterplot and...
Use the given data to find the equation of the regression line.
Examine the scatterplot and identify a characteristic of the data
that is ignored by the regression line.
x y
12 18.26
7 13.01
8 14.67
13 18.39
4 6.22
6 11.06
5 8.79
14 18.22
11 17.81
9 16.02
10 17.07
y=
Create a scatterplot of the data. Choose the correct graph
Identify a characteristic of the data that is ignored by the
regression line.
Use the given data to find the equation of the regression line. Examine the scatterplot and...
Use the given data to find the equation of the regression line.
Examine the scatterplot and identify a characteristic of the data
that is ignored by the regression line. x 8 10 12 11 6 4 3 13 7 5 9
y 14.75 16.69 17.31 17.17 11.49 6.91 4.13 17.13 13.28 9.37 15.88
Modifying Above y with caret equals nothing plus nothing x
a. Construct a scatterplot of the data and tell why a linear regression model is appropriate....
a. Construct a scatterplot of the data and tell why a linear
regression model is appropriate. (Include this graph in your
report.) b. Run the linear regression procedure on
StatCrunch and include the output in your report. c. Give the
regression equation using the correct notation. d. Give the
Coefficient of Determination AND interpret it. e. Check
the assumptions of the model by constructing each of the following
plots and commenting on what they suggest in terms of the
assumptions....
Use the given data to find the equation of the regression line. Examine the scatterplot and...
Use the given data to find the equation of the regression line.
Examine the scatterplot and identify a characteristic of the data
that is ignored by the regression line.
x
55
1212
10
11
44
14
13
88
77
99
66
y
5.11
9.77
10.08
10.09
3.13
8.13
9.11
9.08
8.09
9.75
6.77
ModifyingAbove y with caretyequals=nothingplus+nothingx
create a scatterplot of data
characteristic of scatterplot
(Round to two decimal places as needed.)
Use the given data to find the equation of the regression line. Examine the scatterplot and...
Use the given data to find the equation of the regression line.
Examine the scatterplot and identify a characteristic of the data
that is ignored by the regression line.
X 11 8 11 8 12 13 7 4 12 6 5
Y 7.58 6.69 13.24 7.32 7.62 8.52 6.09 5.15 8.13 6.15 5.52
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