Zuri was studying average life expectancy in Africa and how it varies across different countries. She wanted to discover what variables were good predictors of life expectancy and identified 3 that she believed could possibly be good predictors: access to health care, average income, and number of car accidents per year. She conducted a multiple linear regression analysis using these variables. When looking over the results of this analysis she saw that :. i. the scatterplot showed a fairly linear pattern between each of the explanatory variables and the response variable.
ii. that there was not a pattern in the residual versus predicted y plot, and
iii. that there was not a funnel shape to the residual versus predicted plot.
iv. that the histogram of the normal quantile plot was fairly normal.
Based on all of these findings, we can say
that the linearity condition
the equal variance condition
and the success failure condition
the 10% condition
and the success failure condition
Options for each:
A) is not met
B) does not need to be checked for multiple linear regression
C) is met