Which of the following is a drawback associated with quantitative research? -can’t be compared with data from other sources -difficult to analyze - doesn’t explain reasons behind numerical trends - more expensive than qualitative

Q: 3. What criteriơn is used for deciding which regression line fits best? (relevant section).

A: The regression model shows a relationship between 1 dependent variable and one or more independent…

Q: What problems might we encounter when using regression to measure causal effects?

A: Given: Regression is the Statistical method of detecting  exact relationship between dependent…

Q: What is a line of best fit (aka. trend line, regression line, Linear regression model)? Why would we…

A: We need to answer about a line of best fit and why we want one.

Q: Give me 2 examples of Measures of central tendency to grouped data and how to solve it

A: Central tendency is the tendency of the quantitative data set to cluster around the some central…

Q: Explain how, when and why we use Qualitative ( Categorical)  type Independent variables in Multiple…

A: Categorical type independent variable in Multiple regression analysis

Q: Explain assessing the validity of a regression model for forecasting?

A: Predictions for regression are true only for the data set used to estimate the model. The…

Q: Why is it often preferable to use more than one predictor variable in a regression analysis?

A: In a regression analysis, the presence of more number of predictor variables means that more number…

Q: What are the possible consequences of the presence of outliers in the data used for conducting a…

A: An outlier is an observation that is distant from the other values in a data set. It causes serious…

Q: A study by Judge and Cable (2010) demonstrated a negative relationship between weight and income for…

A: Hello, Thanks for posting your question.  Since there are 2 images and both have the same data…

Q: How the most common use of a one-sided t-test is to determine whether a regression coefficient ?

A:

Q: Discuss what can go wrong and the caution that need to be exercised when using regression models.

A: Things that can go wrong and the caution that need to be exercised when using regression models are…

Q: 6. Which of the graphical procedures for qualitative data do you prefer? Why?

A: The qualitative data is the data which cannot be expressed in the numbers. For example: gender,…

Q: Suppose the following table was generated from sample data of 20 employees relating hourly wage to…

A: Given data: Wage Experience Degree 18.79 28 No 22.88 18 Yes 16.62 10 Yes 15.32 14 No…

Q: Discuss how the coefficient of determination and the coefficient of correlation are related and how…

A: Hi! Thank you for the question, As per the honor code, we are allowed to answer one question at a…

Q: TRUE or FALSE: The regression line always passes through at least one point in the original data…

A: The given statement is: The regression line always passes through at least one point in the original…

Q: Explain why the predictor variable is useless as a predictor of the response variable if the slope…

A:

Q: Describe two ways in which Pearson correlation and simple linear regression are similar?

A: Pearson correlation - It gives a measure of degree of relationship The assigned value lies between…

Q: in multiple regression analysis, a residual is the difference between the value of a dependent…

A: We know that, In any regression model, Residual is the difference between the value of a dependent…

Q: What does it mean when a constant is added to every data value in a data set ?

A: when a constant is added to every data value in a data set, there will be a change in the…

Q: What are the Standard Errors for Fixed Effects Regression?

A:

Q: what is the regression equation for all predictors? I

A: In this question, the dependent variable is ‘work stress’ and predictors are ‘age’ , ‘social…

Q: True or false: A proper line regression can be used to predict values of the response variable from…

A: We can used linear regression model can be used to predict valo of the response variables from the…

Q: When should a regression model not be used to make a prediction?

A: Not using regression model to make prediction when: there are few point which should be like that

Q: A researcher wishes to examine the physical health, including if they have been diagnosed with…

A: Researcher want to examine : Physical health ( including, if they have diagnosed with diabetes and…