Using the Canadian data given in the following table, find out if M1 and R are stationary random variables. If not, are they cointegrated? Show the necessary calculations.

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Observation M1 GDP 22,175.00 22,841.00 23,461.00 23,427.00 1979-1 11.13333 0.77947 334,800 336,708 340,096 341,844 342,776 342,264 340,716 347,780 354,836 359,352 356,152 353,636 1979-2 11.16667 0.80861 0.82649 0.84863 1979-3 11.80000 1979-4 14.18333 0.86693 1980–1 23,811.00 23,612.33 24,543.00 25,638.66 14.38333 1980–2 12.98333 0.88950 0.91553 0.93743 1980–3 10.71667 1980-4 14.53333 1981–1 25,316.00 25,501.33 25,382.33 24,753.00 17.13333 0.96523 1981-2 18.56667 0.98774 1981-3 21.01666 1.01314 1981-4 16.61665 1.03410 25,094.33 25,253.66 24,936.66 25,553.00 1982–1 15.35000 1.05743 349,568 345,284 343,028 340,292 16.04999 14.31667 1982–2 1.07748 1982–3 1.09666 1982–4 10.88333 1.11641 1983–1 26,755.33 27,412.00 28,403.33 28,402.33 9.616670 1.12303 346,072 353,860 359,544 362,304 9.316670 1983–2 1.13395 1983-3 9.333330 1.14721 1.16059 1983-4 9.550000 1.17117 1.17406 1984–1 28,715.66 28,996.33 28,479.33 28,669.00 10.08333 368,280 376,768 381,016 385,396 1984-2 11.45000 1984-3 12.45000 10.76667 1.17795 1984-4 1.18438 1985–1 29,018.66 29,398.66 30,203.66 31,059.33 10.51667 1.18990 390,240 391,580 396,384 405,308 1985-2 9.666670 1.20625 1985–3 1985-4 9.033330 1.21492 1.21805 9.016670 405,680 408,116 409,160 409,616 416,484 422,916 429,980 436,264 1986–1 30,745.33 30,477.66 31,563.66 32,800.66 33,958.33 35,795.66 35,878.66 36,336.00 11.03333 1.22408 1986–2 8.733330 1.22856 1986–3 8.466670 1.23916 1986-4 8.400000 1.25368 1987–1 7.250000 1.27117 1987-2 8.300000 1.28429 1987-3 9.300000 8.700000 1.29599 1987-4 1.31001 1988–1 36,480.33 37,108.66 38,423.00 38,480.66 8.616670 1.32325 440,592 446,680 450,328 453,516 1988-2 1988-3 1988-4 9.133330 1.33219 10.05000 1.35065 10.83333 1.36648