Question: Suppose we use the R command below, where all variables below are quantitative. lm( Revenue ~ ResearchBudget + AdminBudget + MarketingBudget, data=BronlynsExamData) We are given

Suppose we use the R command below, where all variables below are quantitative. lm( Revenue ~ ResearchBudget + AdminBudget + MarketingBudget, data=BronlynsExamData) We are given the summary statistics below: Variable Estimate of coefficient p-value (intercept) 50000 0.00002 ResearchBudget 2.1 0.00001 AdminBudget 0.2 0.84 MarketingBudget 1.4 0.003 True or False: From this model, we can conclude that there is a stronger correlation between ResearchBudget and Revenue than between MarketingBudget and Revenue. Question 15 options: True False or not enough information

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