Data Set: {(-3, 4), (–2, 3), (–1, 3), (0, 7), (1, 5), (2, 6), (3, 1)} 1. The regression line is: y = 2. Based on the regression line, we would expect the value of response variable to be when the explanatory variable is 0. 3. For each increase of 1 in of the explanatory variable, we can expect a(n) of in the response variable. 4. If x = -3.5, the This is an example of 5. The correlation coefficient is r = (Round to the nearest hundredth.)
Contingency Table
A contingency table can be defined as the visual representation of the relationship between two or more categorical variables that can be evaluated and registered. It is a categorical version of the scatterplot, which is used to investigate the linear relationship between two variables. A contingency table is indeed a type of frequency distribution table that displays two variables at the same time.
Binomial Distribution
Binomial is an algebraic expression of the sum or the difference of two terms. Before knowing about binomial distribution, we must know about the binomial theorem.
I need help with these answers - I found the mean for X and Xsquared as zero and b=-7/0 which is undefined so I cannot figure out how to find the rest of the answers.
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