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Lab Activity 6: Multiple Regression We are looking at the research question: Will positive affectivity (PA)...
Correlation and Linear Regression Suppose you are conducting market research for a breakfast cereal manufacturer to understand whether individuals are likely to buy a new cereal. You conduct a survey among a sample of randomly selected individuals and using a series of questions. You produce a rating score for each participant for which higher scores reflect a higher likelihood of that participant buying the new cereal. You use a statistical computing program, such as SPSS, to compute the correlation between...
Create a research question using the General Social Survey that can be answered by multiple regression. What is your research question? What is the null hypothesis for your question? What research design would align with this question? What dependent variable was used and how is it measured? What independent variable is used and how is it measured? What other variables were added to the multiple regression models as controls? What is the justification for adding the variables? If you found...
It has been established for a long time that height has a positive correlation with weight. As people gets taller their weight increases. In a research study, a linear regression model was proposed to predict weight based on height. R output below provides the analysis. Interpret it, list any strengths and limitations of the result. Call: lm(formula = Weight ~ Height) Residuals: Min 1Q Median 3Q Max -6.7104 -2.9217 0.4276 2.3973 7.8586 Coefficients: Estimate Std. Error t value...
1. A positive correlation (r = 0.52) is found between hours spent playing with other children at age two and sociability in kindergarten. Answer the following questions based on this result. a. What does a positive correlation mean in this specific scenario? b. If someone concludes that requiring children to play with others at age 2 will increase sociability, what TWO common errors of interpreting correlations are being made? c. Calculate the coefficient of determination for this scenario. d. If...
MULTIPLE REGRESSION *****PLEASE HELP ME WITH PART E AT THE BOTTOM***** PLEASE HELP ME UNDERSTAND HOW SOLVE PROBLEM IF YOU KNOW HOW TO DO MULTIPLE REGRESSION researcher emplo e turinde ender variables in a re ession mnde to reti a measure cf hie navel y eve a vaca n ns c osen by 4 8 9t e enden var ab es were画 = number roun«s ם gal per number c ge ers. r ear, x vaca IDns a en x...
Another researcher was interested in examining academic performance among teenage students. However, based on her literature review, she expected that ethnicity, parental support, and stress level would predict academic performance. Further, her study was based in New York. Therefore, she collected data from one hundred and fifty (150) students from a school in New York. She hypothesized that parental support would positively predict academic performance, while stress would negatively predict academic performance. She also hypothesized that ethnicity would predict academic...
Questions 6, 7, 10, 11 and 12. Question 6 1 pts Select the appropriate equation for the line of prediction from the SPSS output. Coefficients Standardized Coefficients Beta Sig. Unstandardized Coefficients Model B Std. Error 1 (Constant) 3.977 1.193 Variable 1 414 096 Variable 2 -2019 2011 a. Dependent Variable: Outcome (Y) 458 -181 t 3.333 4.313 -1.704 .001 000 ,093 O Yhat = 3.977 +4.313X1 - 1703X2 Yhat - 3.977 +0.458X, -0.181X2 Yhat = 3.333+4.313X1 - 1703X, Yhat =...
The tables below shows the results of a multiple linear regression analysis relating the sale price y of a house (in dollars) versus LandVal (in dollars), Improvement (in dollars) and Area (in square feet): MS Source DF 877,967292656 46.66 100,349 6,272 978,316 0.00001 Regression 3 Residual16 Total 19 Predictor CoeffStd. ErrorT-valueP-value Intercept 1470 5746 0.26 0801 LandVal08145 0.5122 1.59 Improvement 0.8204 0.2112 3.88 2.05 0.131 0.001 Area 13.529 6.856 0.057 At alpha, a - 0.01 we can say that the...
Homework for lab 4: Complete exercise 4 page 76-77-78 (question 6 only for page 78). Design your own experiment to examine the effect of pH on reaction rate. Material: • Solution of pH 5, pH 7 and pH 9 • Catechol • Potato extract (that's the enzyme) Water (optional) . . . Answer those questions (p77-78) what is your hypothesis What are your dependant and independant variables What are your controls • Briefly explain your experiment below • Design a...
Open the "Lab Dataset" (HSCI390.sav) you have been using for lab assignments in SPSS. Your analysis will focus on the variables "Gender" (Gender) and "Blood Alcohol Content at last drinking episode" (BAC). Researchers are interested in examining if the mean Blood Alcohol Content at last drinking episode differs between men and women. To examine their research question of interest, they will use data from the sample of CSUN students contained in the HSCI390.sav dataset. Using SPSS for the analysis, you...