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Company X's Debt Ratios for the years 2016-2020 are shown in the Excel screenshot below. A linear trend timeseries regression analysis has been conducted and

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Company X's Debt Ratios for the years 2016-2020 are shown in the Excel screenshot below. A linear trend timeseries regression analysis has been conducted and the output is shown below. Your task is to forecast the debt ratio for the years 2021-2023 relying on the output given, then provide a brief statement explaining whether you will or will not grant Company X credit according to this criterion. Hint: Recall the linear trend equation: Y= b + bx It is not necessary to use Microsoft Excel to find the answer. You can do it quickly using your calculator! D 1 Year Debt Ratio Time 2 2016 1 1 3 2017 2 4 2018 3 3 5 2019 4% 4 5 2020 7 5 7 2031 2022 2023 10 SUMMARY OUTPUT Regression Statistics Multiple 0.938194187 Square 0.880208333 Adjusted Square 0.840277778 Standard Error O OOR 75505 Observations 5 ANOVA Regression Residual Total 1 3 4 SS MS F Siwicace 0.00109 0.00109 22.04348 0.018273009 0.00023 7.67E-05 0.00192 12 13 14 15 16 12 10 19 20 Intercept Time Coefficient Standard Error Stor P value Lower 95 Upper 95 Lower 95.0N Upper 95 ON -0.003 0.009183318 0.32668 0.765375 -0.002225417 0.026225417 0.032225417 0.026225417 0.013 0.002768575 4.605048 0.01827 0.004188205 0.021811795 0.001186205 0.021811795 Shett 1 A EE E E 22 >

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