Bankers at a large financial institution created the linear regression model d = 0.37 – 0.0004s to predict the proportion of customers who would default on their loans, d, based on the customer's...


Bankers at a large financial institution created the linear regression model d = 0.37 – 0.0004s to predict the proportion of customers who would default on their loans, d, based on the customer's credit<br>score, s.<br>For a customer with a credit score of 700, which of the following is true?<br>A<br>The default proportion is predicted to be 0.09.<br>В<br>The default proportion will be 0.09.<br>The default proportion is predicted to be approximately 1.75 million.<br>The default proportion will be approximately 1.75 million.<br>E<br>The default proportion is predicted to be 0.28.<br>

Extracted text: Bankers at a large financial institution created the linear regression model d = 0.37 – 0.0004s to predict the proportion of customers who would default on their loans, d, based on the customer's credit score, s. For a customer with a credit score of 700, which of the following is true? A The default proportion is predicted to be 0.09. В The default proportion will be 0.09. The default proportion is predicted to be approximately 1.75 million. The default proportion will be approximately 1.75 million. E The default proportion is predicted to be 0.28.

Jun 03, 2022
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