Requires Uploaded Supporting Analysis: Solve the problem. A farmer plans to fence a rectangular pasture adjacent to a river. The pasture must contain 180,000 square meters in order to provide enough grass for the herd. What dimensions would require the least amount of fencing if no fencing is needed along the river?

Q: Why is it important to use clustered standard errors for the regression?Do the results change if you…

A: Clustered Standard Errors occur when some observations in a data set are related to each other. It…

Q: 1. Find (Probability of Blue Collar | Democrat) Use two decimal places in your answer.

A: Here  From given table P(DEMOCRATE)= 0.37 = P(D) P(BLUE COLLAR AND DEMOCRATE) = P(B∩ D) = 0.16

Q: Discuss different situations where a teacher can use Correlation and Regression to draw conclusions.…

A: The correlation coefficient is denoted by r. It is used to measure how strong a…

Q: The recommended daily dietary allovance for zinc among males older than age 50 years is 15 mg/day.…

A: Given information Sample mean x̅ = 11.2 Population mean µ = 15 Sample size = 115 Standard deviation…

Q: w to determine goodness-of-fit in regression analysis?

A: From the given question, The goodness of fit of regression equation can be understood as: The R…

Q: In your own words, explain the purpose of regression analyses.

A: Introduction The regression analysis (RA) is one of the major methods of statistical analysis.

Q: How  should interpret assumptions of the technique used?

A: Here ANOVA test is used. The assumptions of ANOVA are as follows:

Q: What type of data:  The weight of cars crossing the Golden Gate Bridge. Qualitative Quantitative…

A: we have fide type of data

Q: Explain various Assumptions of the Fixed Effects Regression ?

A: The fixed effect principle is that the independent variables are correlated with the…

Q: Clearly mention the statistical functions use for the analysis

A: Here are the statistical functions that can be used for each of the six analyses mentioned earlier:…

Q: Develop a multiple regression equation for starting salaries using School_Ranking, GPA, and…

A: Given variables are salaries, school ranking, gpa and experience.

Q: .  Can you populate the table in the attached image?  Thanks

A: There are many statistical tools used to estimate the relationship between variables: 1…

Q: How do we test whether a regression is significant? Please be as specific as possible. Be sure to…

A: The regression is significant.

Q: Nonparametric tests should not be used when

A: Non-parametric tests should not be used when  :     Non-parametric tests are the one where we do not…

Q: Predictive analytics should be compared and contrasted with prescriptive and descriptive analytics.…

A: Predictive analytics can be defined as the term that refers to the use of statistics and…

Q: Dependent and independent variables used in regression analysis can be interchanged. True False *

A: Regression line Y=aX+b

Q: step 4 can you calculate the p value without using excel?  need to be able to do on a test without…

A: From given data  n=19 so, degree of freedom is df=n-1=19-1=18

Q: How do we do Z-test on a quantitative data? Give an example.

A: Z test

Q: In a certain jurisdiction, all students in Grade Three are required to take a standardized test to…

A: In the given situation, X variable is perbelowpoverty. Y variable is labeled mathscore. From the…

Q: Explain what is the LM test and demonstrate it

A: Given information: It is required to state the LM test.

Q: What do you mean by Regression analysis. define types of regressions?

A: Regression analysis is a known statistical process which is mainly used for the analysis…

Q: Residuals

A: The difference between the observed value of Y and its estimate (y⏞ )is called residual. Residual…

Q: Explain why we might sometimes consider explanatory variables in a regression model to be random.

A: Hint: Here we need to write why sometime we use explanatory variables.

Q: Name two limitations of this test.

A: Chi Square Test The Chi-square test is a non-parametric type that does not have distribution and is…

Q: give examples of regression analysis and correlation analysis

A: Regression analysis helps to predict the values of the response variable with the help of…

Q: e using scatterplot. How to distinguish betwee

A: Let us consider a multivariate dataset to visualize to distinguish between the attributes: This open…

Q: explain  Regression analysis and its limations

A: Regression analysis  :  Regression  analisis is a power statstical method  is identifying  the…

Q: Explain what secondary analysis is and its key advantages and disadvantages

A:

Q: Explain Univariate Analysis?

A: Univariate Analysis is the analysis of variable. As the name suggests 'uni' means one i.e analysis…

Q: Chi-square is different.

A: What Is a Chi-Square Statistic? A chi-square (χ2) statistic is a measure of the difference between…

Q: Plot a scatter diagram for the data used in topic (c) and plot the linear regression model as well.…

A: Since you have mentioned the last 2 parts, answering only those questions. If you have any doubts in…

Q: Describe delta method and application in reliability or survival analysis in details

A: Delta Method and its application in reliability or survival analysis

Q: explain the use of z-test

A: Solution-: Explain the use of z-test?