Question 1: Collect a data set with at least five variables in which one should be qualitative, and the other four shoul

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Question 1: Collect a data set with at least five variables in
which one should be qualitative, and the other four should be
quantitative (independent and one dependent variable). The number
of observations should be 15. a) Tell the source of Data b)
Variable type (nominal; ordinal; discrete and continuous) c) Apply
and appropriate graph on qualitative variable (Using R-Code)
Question 2: From question 1, use dependent variable and one
independent variable and answer the following a. Identify the
regression line. b. Identify and interpret the y-intercept and the
slope of the linear equation in (a) c. Describe the apparent
relationship between the two variables under consideration. d.
Graph a scatterplot for the data. e. Compute the coefficient of
determination, r2. f. Determine the percentage of variation in the
observed values of the response variable explained by the
regression, interpret your answer. Note: Do all steps manually as
well as use R-codes. Question 3: Use all quantitative variables
collected in question 1 and perform the following a) Identify the
response variable and explanatory variables b) Graph the
relationship between the response variable and each of explanatory
variables c) Determine the regression equation and interpret the
coefficients as well regression equation Note: Do all stepswith the
help of R-Codes