Chapter 14 Regression Statistics 0.97543454 Multiple R R Square Adjusted R Sc Standard Erro 438.384366 Observations 1 2 ANOVA Of Regression Residual 10 1921808.519 39602500 Coemicients Standard Error 19.0812465 1 362706623 Total Stat 13720.2593 1580.13751 8.682952714 intercept X Variable 1 13. Use the table above to answer the following questions Write the equation of the regression line based on the output above. a) U) = (3,7て07513 t (9,08 lex Assuming that the x variable represents the number of service calls made, what is the total cost expected if 1,1,40 service calls are made? b) c) What is the relationship between SSE, SSR and SST? What is the value of the SSR? d) Calculate the r2 from the data above. e) f What interval must r2 fall? 8) Calculate the F statistic. h) What is the value of tSTAT for the slope (b1)? i) What is the value of the y-intercept? Using an alpha of 0.05, what is the confidence interval estimate for the independent variable? LCL i) UCL

Q: 16. Find mBC 240 D

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Q: Okay thank you! Can you please help with 11-13?

A: Let's solve limit problems.

Q: Suppose a random variable X; is drawn from a distribution with mean u and variance o2 600 = 900 You…

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Q: what is five tmes 2

A: Five time 2 means multiplication of 5 and 2

Q: Please explain how the 32 was caculated in the problem? I had the same question and got it wrong

A: as we can see is solution  No. of coins tossed = 5 P(H)=12 and P(T)=12

Q: 6 0 3 g 4 5g Subtract:

A: subtract = 6038-458                 =5580

Q: the following expression

A: In the given question, simplification of expression is done using power and exponent rules. 125e15x3

Q: ome reason the correct answer is 50178

A: Mean (μ) = $43,000 Standard Deviation (σ) = $5,600

Q: calculate logs To,125

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Q: What about 9 and 11?

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Q: Can ypou please recheck the answer

A: The answer is correct as per my knowledge. Please post if you have any specific doubts

Q: How do you solce part d?

A: Let, X= the number of incoming calls involving a fax messages among 25 incoming calls. This…

Q: 16: St So STAG 54-9x² dx

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Q: Subtract 93 - 48.  Describe each step of what you do, justifying your work using place value.

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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.