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A:

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A:

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Q: The mean of a set of data is the sum of all values in a data set divided by the number .of values in…

A: GivenMean:-It is the one of the measures of central tendencyMean(x) of a set observations is defined…

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A: Hello! As you have posted more than 3 sub parts, we are answering the  3 sub-parts(d, e and f).  In…

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A: Solution

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A:

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A: solution:-   table(i)x1=1, x2=2, x3=3, x4=4, x4=5y1=10.6, y2=16.9, y3=32.2, y4=29.5,…

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Q: What is the Dependent Variable of the study?* Fast Food Group Number of Burgers Calories Popularity

A:

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Q: Which correlation would allows for the best prediction of Y based on X? Group of answer choices r…

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Q: he stem and leaf plot best represents which set of data?

A:

Q: Is this line a good fit for the data? Explain your reasoning. 200 150 100 50 25 50 75 100

A: A line is good fit for data interpretation if it covers or touch maximum points of the given data.

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Q: An architect wants to determine the relationship between the heights (in feet) o number of stories…

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Q: 11. The table shows differences in political ideology, data to solve the problem. Liberal Moderate…

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Q: Jamie's grade point average is

A: Given, Grade Points A 4 B 3 C 2 D 1 F 0   Subject Grade Credits Calculus B 3…

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A: a) Excel Procedure: Enter X and Y data in Excel>Data>Data Analysis> ‘Regression’>Select…

Correlation

Correlation defines a relationship between two independent variables. It tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.

Linear Correlation

A correlation is used to determine the relationships between numerical and categorical variables. In other words, it is an indicator of how things are connected to one another. The correlation analysis is the study of how variables are related. 

Regression Analysis

Regression analysis is a statistical method in which it estimates the relationship between a dependent variable and one or more independent variable. In simple terms dependent variable is called as outcome variable and independent variable is called as predictors. Regression analysis is one of the methods to find the trends in data. The independent variable used in Regression analysis is named Predictor variable. It offers data of an associated dependent variable regarding a particular outcome.