6. Rosie has a credit score of 723 predict the interest rate the bank will charge her 7. Suppose the bank offers Rosie an interest rate of 6.7%. Calculate the residual based on your prediction in #6 above

ned sgiso Illw Ined orde Chapter 4 Lab 16819 EST to stopp Jibe o s esd sizof a Round to the nearest thousandths place unless otherwise stated. Scenario 1: The table below shows the credit rate of 6 customers and the percent interest rate the bank charged them on their car loan. Assume the credit score is the x data (explanatory variable) and the interest rate is the y data (response variable). evode alt ni nohoiberg Credit Score Interest Rate (as a percent) exlnield ana ni lli (eviteqa 545 18.982 595 17.967 Haul of woled asonefries ert ni al 1sul 640 12.218 675 8.612 6 2i deF.a to Tello aNned edT (bessluplea wov lsubize) isin 705 6.680 750 5.150 1. Do you think there will be a positive or negative trend for this data? Explain your answer in a complete sentence. I believe that there is a negative low trend for this answer because venigne nA :S ohanson the linear correlation"cop frirent al songs wals 39 negative 2. Use your calculator to find the linear correlation coefficient (r). - 0. 9 7 26 4 2limn) (ebnuog ni) ASTA 3. Use your calculator to find the least-squares regression line (]). - 6. 0 76 005 OVCE -0 . 0 760 4. What is the critical value on the table on your formula chart? When 5. Is there a linear relationship between a customer's credit score and the interest rate the bank will charge them? Explain using a complete sentence and referencing the linear nigga correlation coefficient and the critical value. 20 - 1 674de