3 195516561975192819951842To access the complete data set, click the link for your preferred software format:Excel Minitab JMP SPSS TI R Mac-TXT PC-TXT CSV Crunchlt!The most important question we ask of the data in the table is this: is the increasing trend visible in the plot of these datastatistically significant? If so, changes in the Arctic may already be afecting the earth's climate. Use software to answer thisquestion.What hypotheses do we test to answer this question?Ho : a = 0 versus H, : a > 0Ho : B = 0 versus H. : B > 0Ho : 8 = 0 versus H. : B + 0Họ : B = 0 versus H. : B < 0What is the value of t, the test statistic?-1.4854.030.0190.358What is the P-value for the test? (Round your answer to 3 decimal places.)P-value =Is there strong evidence of a linear increase of Arctic river discharge? Select the correct description.Yes, because the P-value for the one-sided test Họ : ß = 0, H, : ß > 0 is small.Yes, because the slope of the least-squares line is positive.No, because the value of the square of the correlation is relatively small.It is impossible to say because the sample size is too small. One effect of global warming is to increase the flow of water into the Arctic Ocean from rivers. Such an increase may have majoreffects on the world's climate. Six rivers (Yenisey, Lena, Ob, Pechora, Kolyma, and Severnaya Dvina) drain two-thirds of theArctic in Europe and Asia. Several of these are among the largest rivers on earth. The table presents the total discharge (amountof water flowing from these rivers) each year from 1936–2014. Discharge is measured in cubic kilometers of water.Arctic river discharge (cubic kilometers), 1936–2014Year Discharge Year Discharge Year Discharge Year Discharge19761936172119561721165319961849193717131957176219771698|1997 20071938186019581936197820081998190319391739195919061979197019991970194016151960173619801758200019051941183819611970198117742001189019421762196218491982172820022085194317091963177419831920200317801944192119641606198418232004190019451581196517351985182220051930194618901966188319861860200619101947189019671642198717322007227019481898196817131988190620082078194919581969174219891932200919001950183019701751199018612010181319511864197118791991180120111859195218291972173619921793201217021953165219731861199318452013175819541589197420001994190220141988

Year River Discharge 1936 1721 1937 1713 1938 1860 1939 1739 1940 1615 1941 1838 1942…

To access the complete data set, click the link for your preferred software format: Excel Minitab JMP SPSS TI R Mac-TXT PC-TXT CSV Crunchlt! The most important question we ask of the data in the table is this: is the increasing trend visible in the plot of these data statistically significant? If so, changes in the Arctic may already be affecting the earth's climate. Use software to answer this question. What hypotheses do we test to answer this question? Ho : a = 0 versus H, : a > 0 Ho : B = 0 versus H, : B >0 Ho : B = 0 versus H, : 0 4 0 Ho : B = 0 versus H. :B <0 What is the value of t, the test statistic? -1.485 4.03 0.019 0.358 What is the P-value for the test? (Round your answer to 3 decimal places.) P-value = Is there strong evidence of a linear increase of Arctic river discharge? Select the correct description. Yes, because the P-value for the one-sided test Họ : 8 = 0, H, : > 0 is small. Yes, because the slope of the least-squares line is positive. No, because the value of the square of the correlation is relatively small. It is impossible to say because the sample size is too small.