Thank you. Here is another set of regression results, for a generic DV called y and a generic IV called x.SUMMARY OUTPUTRegression StatisticsMultiple RR Square0.098556940.00971347Adjusted RSquare-D.004n405Standard Fror20.5897879Observations74ANOVASSMSSignifivoceRegression299.3986299 3986 0.706230.40348Residual7230523.63423.9394Total7320823.03SturndardCoeficienis1 StaiP-waluelower 95N95%Intercept44.36183655.2053528.522351 1.62E-1233.9851554.73852-0.15873030.18988-0.840370.40349-0.535260.2177967) How many observations were in this dataset?8) Fallaw the foaur steps in Ch 14: Handout #2 to perform the hypothesis test to answer the followingquestion: la there a statistically significant relationahip between y and x? Use an a - (1.5 significancelevel. Ihe guidelines from the test in Question #1 apply here tao.9) Given your result in Question 48, is it appropriate to continue interpreting this model? Worksheet #10An analyst for a shopping district would like to determine the rent that should be charged for retailspaces depending on how close they are to parking. The analyst takes a random sample of retail spacesin similar shopping districts and measures the monthly rent ($) and distance from parking (in yards) foreach retail space. This is the same regression you worked with in Worksheet #9.Here is the complete Excel output for this regression:SUMMARY OUTPUTRegression StotisticsMultiple RR Square0.70760.5007Adjusted RSquareStandard Error0.4918978.8761Observations58ANOVASignificanerdfSSMSRegression153809748.9753809748.9756.15725.28E-10Residual5653659115.74958198.4954Total57107468864.7Coefficientst StatP valueUpper 95%Standard ErrorLower 95%Intercept15003.10249.346460.171.4E-5214503.5915502.6Distance-11.421.5239-7,495.28E-10-14.478.37NOTE: Excel uses scientific notation for very small numbers. So the p-value = 5.28E-10 = 5.28 x 10 10 -0.000000000528. In the hypothesis test, you may truncate that to 0.000. Very tiny p-values with morethan four zeroes after the decimal are often expressed as 0.000 or .000 when they are reported andinterpreted.

Name: Thank you. Here is another set of regression results, for a generic DV
Uploaded: 2024-03-20T07:07:37.000Z
Channel: Bartleby
Description: Thank you. Here is another set of regression results, for a generic DV called y and a generic IV called x.SUMMARY OUTPUTRegression StatisticsMultiple RR Square0.098556940.00971347Adjusted RSquare-D.004n405Standard Fror20.5897879Observations74ANOVASSM