(Statistical Anaylsis)For the following graph, explain the reason for every statistic that is calculated. For example, You have a scatter plot of an hourly wages vs level of education, the trend is represented by a cubic curve with R^2=0.999. It can mean that the relationship of the level of education vs the hourly wages has a cubic trend as the cubic model suits well the set of data (R^2 is very close to 1). 25%MALE CASES■0 to 4 ■5 to 1112 to 1920 to 39 40 to 59 60 to 79 80+4%4%14%25%4%24% Graph 4:Male Cases1124MeanMedian1129Mode311, 281, 291,1868, 2008, 1980,1129Range1727Standard Deviation768.41766916548Sample Variance 88876.67QuartilesMale CasesMale PopulationQ1291370982Q21129679385Q319801913051IQR for Male Cases = Q3 – Q1 = 1980 – 291= 1689IQR for Male Population= Q3 - Q1 = 1913051-370982=1542069Correlation coefficient = r = 0.94189Coefficient of DeterminationR2 = r2 = 0.94189 = 0.88716Male PopulationMeanMedianModeRangeStandard DeviationSample Variance1039921.1428571679385370982, 550086,679385, 2119703,1913051, 1382440,2638011855902703599.98826716577561770000

Given Information: Consider the pie chart that shows the proportion of male cases. The descriptive…

(Statistical Anaylsis) For the following graph, explain the reason for every statistic that is calculated. For example, You have a scatter plot of an hourly wages vs level of education, the trend is represented by a cubic curve with R^2=0.999. It can mean that the relationship of the level of education vs the hourly wages has a cubic trend as the cubic model suits well the set of data (R^2 is very close to 1).

(Statistical Anaylsis) For the following graph, explain the reason for every statistic that is calculated. For example, You have a scatter plot of an hourly wages vs level of education, the trend is represented by a cubic curve with R^2=0.999. It can mean that the relationship of the level of education vs the hourly wages has a cubic trend as the cubic model suits well the set of data (R^2 is very close to 1).

College Algebra

7th Edition

ISBN:9781305115545

Author:James Stewart, Lothar Redlin, Saleem Watson

Publisher:James Stewart, Lothar Redlin, Saleem Watson

Chapter9: Counting And Probability

Section: Chapter Questions

Problem 7T: An anagram of a word is a rearrangement of the letters of the word. (a) How many anagrams of the...

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Question

(Statistical Anaylsis)

For the following graph, explain the reason for every statistic that is calculated.

For example, You have a scatter plot of an hourly wages vs level of education, the trend is represented by a cubic curve with R^2=0.999. It can mean that the relationship of the level of education vs the hourly wages has a cubic trend as the cubic model suits well the set of data (R^2 is very close to 1).

25%
MALE CASES
■0 to 4 ■5 to 1112 to 1920 to 39 40 to 59 60 to 79 80+
4%
4%
14%
25%
4%
24%

Graph 4:
Male Cases
1124
Mean
Median
1129
Mode
311, 281, 291,
1868, 2008, 1980,
1129
Range
1727
Standard Deviation
768.41766916548
Sample Variance 88876.67
Quartiles
Male Cases
Male Population
Q1
291
370982
Q2
1129
679385
Q3
1980
1913051
IQR for Male Cases = Q3 – Q1 = 1980 – 291= 1689
IQR for Male Population= Q3 - Q1 = 1913051-370982=1542069
Correlation coefficient = r = 0.94189
Coefficient of Determination
R2 = r2 = 0.94189 = 0.88716
Male Population
Mean
Median
Mode
Range
Standard Deviation
Sample Variance
1039921.1428571
679385
370982, 550086,
679385, 2119703,
1913051, 1382440,
263801
1855902
703599.98826716
577561770000

Definition Definition Representation of the direction and degree of correlation in graphical form. The grouping of points that are plotted makes it a scatter diagram. A line can be drawn showing the relationship based on the direction of points and their distance from each other.

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