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Suppose we want to use linear regression to examine the relation between a firm's R&D expenditure (denoted as RER) and two predictor variables: log
Suppose we want to use linear regression to examine the relation between a firm's R&D expenditure (denoted as RER) and two predictor variables: log of total assets (denoted as InAsset) and current asset ratio (denoted as CAR) The linear regression tool in Alteryx generates a report below. Coefficients: Estimate Std. Error value Pr (intercept) 0.0019496 0.01454 0.1341 00339 InAsset CAR 0.0009117 0.1155595 0.00140 0.6513 0.51508 0.01217 9.4949 2.2e-16*** Significance codes: 0*** 0.001 **** 0.01 0.050.1 1 Which of the following sentences is incorrect? There is a significant negative relation between RDR and InAsset There is a significant positive relation between RDR and CAR The coefficients on InAsset and CAR are negative and positive, respectively None of the above
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