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What is the value of the intercept in the regression Height = Intercept + m 1 x Stories + m 2 x Year? a .

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  1. What is the value of the intercept in the regression Height = Intercept + m1 x Stories + m2 x Year?
  2. a.834
  3. 57.000
  4. 691.040
  5. 51.048
  6. 267.021
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1 Year Stois Height Year Germany GDP 1950 1951 1952 1953 5477O 5.725433 6.256754 6.70308 7.256435 7.72644 8.570349 9.076571 0.45931 3 1980 5 1989 38 410 29 371 7 1976 1974 9 1991 10 1982 11 1986 12 1931 13 1979 14 1388 15 1973 16 1981 17 1983 18 1968 19 1927 1955 80 1136 52 695 45 551 40 550 19589.665697 10.259906 1960 10.608815 11.032132 11.384714 1963 11.611703 196412.266443 1965 12.813883 13.016213 12.964814 1968 13.730252 1969 14.665157 15.392277 197115.720841 197216.197464 16.907173 16.97702 197516.72403 17.6721 1977 18.195684 197818.798212 19.640699 1980 19.935295 198119.903635 1982 19.723139 1983 19.985983 1959 50 560 40 538 27 410 1966 1967 21 1388 22 1987 23 1960 24 1984 25 1976 26 1920 27 1931 28 1983 29 1907 30 1988 31 1990 32 1973 33 1983 34 1971 26 386 39 530 1973 23 355 102 1250 72 802 1976 54 739 56 650 45 592 42 577 1979 36 1971 22 320 29 1907 30 1988 31 1990 32 1973 33 1983 34 1971 35 1969 36 1971 37 1988 38 1989 39 1973 40 1987 41 1931 42 1931 43 1924 44 1931 45 1991 46 1973 47 1976 48 1990 49 1983 50 1984 51 1986 52 1986 53 1992 54 1973 55 1988 56 1979 57 1972 58 1930 59 1978 60 1978 61 1977 57 741 54 739 56 650 45 592 42 577 36 500 30 469 22 320 1977 18.195684 1978 18.798212 1979 19.640699 019.935295 1981 19.903635 1982 19.723139 1983 19.985983 1 441 52 845 9 435 34 435 20 375 33 364 18 340 23 375 30 450 38 529 31 412 62 722 48 574 29 438 40 493 30 379 42 579 36 458 33 454 72 952 57 784 34 476 46 453 440 21 428 Germany GDP Previous Next Dashboard Calendar To Do Notifications Inbox 1 Year Stois Height Year Germany GDP 1950 1951 1952 1953 5477O 5.725433 6.256754 6.70308 7.256435 7.72644 8.570349 9.076571 0.45931 3 1980 5 1989 38 410 29 371 7 1976 1974 9 1991 10 1982 11 1986 12 1931 13 1979 14 1388 15 1973 16 1981 17 1983 18 1968 19 1927 1955 80 1136 52 695 45 551 40 550 19589.665697 10.259906 1960 10.608815 11.032132 11.384714 1963 11.611703 196412.266443 1965 12.813883 13.016213 12.964814 1968 13.730252 1969 14.665157 15.392277 197115.720841 197216.197464 16.907173 16.97702 197516.72403 17.6721 1977 18.195684 197818.798212 19.640699 1980 19.935295 198119.903635 1982 19.723139 1983 19.985983 1959 50 560 40 538 27 410 1966 1967 21 1388 22 1987 23 1960 24 1984 25 1976 26 1920 27 1931 28 1983 29 1907 30 1988 31 1990 32 1973 33 1983 34 1971 26 386 39 530 1973 23 355 102 1250 72 802 1976 54 739 56 650 45 592 42 577 1979 36 1971 22 320 29 1907 30 1988 31 1990 32 1973 33 1983 34 1971 35 1969 36 1971 37 1988 38 1989 39 1973 40 1987 41 1931 42 1931 43 1924 44 1931 45 1991 46 1973 47 1976 48 1990 49 1983 50 1984 51 1986 52 1986 53 1992 54 1973 55 1988 56 1979 57 1972 58 1930 59 1978 60 1978 61 1977 57 741 54 739 56 650 45 592 42 577 36 500 30 469 22 320 1977 18.195684 1978 18.798212 1979 19.640699 019.935295 1981 19.903635 1982 19.723139 1983 19.985983 1 441 52 845 9 435 34 435 20 375 33 364 18 340 23 375 30 450 38 529 31 412 62 722 48 574 29 438 40 493 30 379 42 579 36 458 33 454 72 952 57 784 34 476 46 453 440 21 428 Germany GDP Previous Next Dashboard Calendar To Do Notifications Inbox

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