Which of the following equations best models the data in this table? |-2 -0.5 2 0 1 1.5 0.5 2.5 1.5 3 2.5 A y 2(4)" By= 22 +1 5.

Q: Find 3B- 2A. -1 -4 3 6 -3 -5 A = 6 -6 2 B = - 4 2 4 -2 5 5 -2 -6

A: Find subtraction of matrix. 3B-2A.

Q: The line of best fit through a set of data is y=-39.761 +3.894x According to this equation, what is…

A: The regression line is:y=−39.761+3.894x  ; x is independent variable and y is dependent…

Q: 1. Higher Order Thinking If points C, D, and E are on a line and CD = 20 and CE = 32, what are the…

A: Rest are swnd to another question

Q: a. Interpret b1 as it relates the two variables in the model. b. Interpret b0 as it relates the two…

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A: Given Equation y=1.82x+11.36 Where y= money spent on entertainment. x = the number of house worked

Q: Part a: Make a scatter plot and determine which type of model best fits the data. Part b: Find the…

A: Given: x -3 -2 -1 0 1 2 y 0.125 0.25 0.5 1 2 4

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A:

Q: 29. The driving school took measurements of the students 'braking distance in slippery weather. From…

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A:

Q: Based on the scatterplot predict the value of y when x = 30 %3D

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A: Correlation is a statistical technique used for analyzing the behavior of two or more variates. Its…

Q: I/O Table #5 12 25 3 8. 9. 15 32 Write the rule as an cquation 20

A:

Q: acher plots the number of classes their students missed (r) with their scores on a test (y). The…

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Q: Suppose the equation of the regression line for the number of emails a person recieves at a…

A: We have find critical value...

Q: C. A student completed the chart and correctly found the following information.. v = v; + 2ay =…

A: we have  x a v v0 t   0 14cos40=10.7 14cos40=10.7   y a v v0   -3 -9.8 -11.8 14sin40=9.0…

Q: A regression equation was fit relating a student's weight to the number of hours they spent on the…

A: The fitted equation is y=125.5+3.26x1+4.27x2+1.75x3

Q: If a multiple regression model has the following equation Y =6-9x For each 1 increase in X, Y will

A: Interpretation of slope: Here slope = -9

Q: 1) What are the assumptions of a simple linear regression model.

A: In simple linear regression there will be only one independent variable. In multiple linear…

Q: The equation of the line of best fit relating age (in years, x) and the median height (in cm, y) of…

A:

Q: Identify the relationship that exists between the 2 variables. As the weather gets colder, air…

A: The statistical relation between two variables is called correlation.

Q: This table shows the number of reported cases of a disease in a country. Week Size 400 500 2. 625 3.…

A: Given: n = 4 Formula Used: The regression model is: Y = a + bX Slope b = n∑XY-∑X∑Yn∑X2-∑X2 Intercept…

Q: X2 y2 1930 500 000 1935 450000 1937 650000 1938 350000 1940 544764 1952 1073 121 1975 1589 238 1985…

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Q: stephanie has achieved the 45% percentile for long jump compared to 13 year old females. the mean of…

A: From the given information,Mean of the group (µ) = 66Standard deviation (σ)= 4P (X<x ) = 0.45.

Q: Help

A: Here we have to find that which line is passing through the point -2,-1 and -4,-3

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Q: Problem 5 1. Explain what it means for an estimator to be consistent. How is it different from the…

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Q: Write the equation of the line of best fit

A:

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.