Areal estate builder wishes to determine how house size(house) is influenced by family income (income), family size(size), and education of the head of household (school). house size is measured in hundreds of square feet, income is measured in thousands of dollars, and education is measured in years. the builder randomly selects 50 families and runs the multiple regression. the business literature involving human capital shows that education influences an individual's annual income. combined, these may influence family size. with this in mind, what should the real estate builder be particularly concerned with when analyzing the multiple regression model? a)normality of residuals b)collinearity c)missing observations d)randomness of error terms

it can be to see completed examples before writing, in order to examine what makes for an effective piece. see how these intros give some context before posing the topic and lead naturally into the body paragraphs, where the evidence will be listed. you can imagine how the author has organized the rest of the piece.

"we buried my cousin last summer. he was 32 when he hanged himself from a closet coat rack in the throes of alcoholism, the fourth of my blood relatives to die prematurely from this deadly disease. if america issued drinking licenses, those four men—including my father, who died at 54 of liver failure—might be alive today. that is a good example piece   some steps that are .

. writing something that happened to you

.read a book you like to get ideas from there

. lastly you can make a venn diagram

hope this plz make brainliest

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nope lol

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0.038

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