You have been given the following estimated equation (t-statistics in parentheses) Y = 0.54 + 0.46X, + 0.59X,-1 + 0.47X,-2 + 0.32X¢-3 (2.10) (3.81) (4.12) (3.23) (3.14) R - 0.95 Adj. R’ = 0.92 DW = 1.98 N = 32

Q: In a trial of 185 patients who received 10-mg doses of a drug daily, 48 reported headache as a side…

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Q: Why does it make sense for the coefficient on psperc to be negative? What is the predicted…

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Q: Pearson’s r(50) = .75, p = .03 can be interpreted as:

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Q: Calculate y ".

A: Differentiating both sides with respect to x, we get

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A: The estimated regression equation is,y=11+10.8x1+11.13x2+3.20x3where  = 11 (intercept coefficient)…

Q: X: 4.1 5.2 6.4 8.7 7.6 3.0 4.4 5.7 6.8 3.4 2.3 7.1 8.0 5.8 4.8 Y: 10 12 17 16 14 9 11 13 13 8 6 15…

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Q: 2. What type of effect can a variable that is confounded with the treatment variable in a two-group…

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Q: What is wrong if you conduct a study and you calculated r=-3.0,then what?

A: If we conduct a study and got the correlation coefficient value (r) = -3.0

Q: 3. Find the value of y for a given value of x, ify varies directly with If y= 2.52 when x 8.4, what…

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Q: Match the coefficient of determination to the scatter diagram. The scales on the x-axis and y-axis…

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Q: A doctor was studying the efficacy of a particular medication in reducing the length of the common…

A: P(A) = n(A)n(Total)

Q: 1. Find the absolute and percent relative uncertainty. a. 6.2 (±0.2)-4.1 (0.1) = ? b. 9.43 (+0.05) x…

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Q: Consider the following data: x −6 −5 −4 −3 −2 P(X=x) 0.2 0.2 0.2 0.2 0.2   Find the value of…

A: Consider the following data:   x −6 −5 −4 −3 −2 P(X=x) 0.2 0.2 0.2 0.2 0.2     Find the value of…

Q: Let x be the percentage of 16- to 19-year-olds not in school and not high school graduates. Let y be…

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Q: Are the digits of your R-number a quantitative or qualitative variable?

A: Quantitative variables : Variables consist numbers known as Quantitative. Example : Height, age,…

Q: . To investigate the tradeoff between time to work and time to sleep, the following equation is…

A: Given  Level of significance=0.05, tcrititcal=1.96

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.