1. Create a scatterplot of Avg. Total Score vs. PPS with regression line.  With Minitab, compute the basic statistics needed to compute the equation of the regression line, then compute the equation by hand.  (Include the Minitab print out of the basic statistics used in your computation and type the equation itself, but, remember, you do not have to include your by-hand computations in your paper.)

More specifically how to do this operation on minitab express

here is the data:

    PPS    T/S Ratio    Avg. Salary    %Takers    Avg. Tot. Score
[1,] "Alabama"           4.405    17.2    31.144    10    1035
[2,] "Alaska"            8.963    17.6    47.951    48    939
[3,] "Arizona"           4.778    19.3    32.175    28    950
[4,] "Arkansas"          4.459    17.1    28.934    7    1010
[5,] "California"        4.992    24    41.078    46    908
[6,] "Colorado"          5.443    18.4    34.571    31    985
[7,] "Connecticut"       8.817    14.4    50.045    82    914
[8,] "Delaware"          7.03    16.6    39.076    70    902
[9,] "Florida"           5.718    19.1    32.588    50    895
[10,] "Georgia"           5.193    16.3    32.291    66    859
[11,] "Hawaii"            6.078    17.9    38.518    58    895
[12,] "Idaho"             4.21    19.1    29.783    16    984
[13,] "Illinois"          6.136    17.3    39.431    14    1054
[14,] "Indiana"           5.826    17.5    36.785    59    887
[15,] "Iowa"              5.483    15.8    31.511    7    1105
[16,] "Kansas"            5.817    15.1    34.652    11    1066
[17,] "Kentucky"          5.217    17    32.257    12    1005
[18,] "Louisiana"         4.761    16.8    26.461    10    1027
[19,] "Maine"             6.428    13.8    31.972    70    902
[20,] "Maryland"          7.245    17    40.661    65    915
[21,] "Massachusetts"     7.287    14.8    40.795    81    913
[22,] "Michigan"          6.994    20.1    41.895    13    1038
[23,] "Minnesota"         6    17.5    35.948    10    1091
[24,] "Mississippi"       4.08    17.5    26.818    5    1041
[25,] "Missouri"          5.383    15.5    31.189    10    1051
[26,] "Montana"           5.692    16.3    28.785    23    1014
[27,] "Nebraska"          5.935    14.5    30.922    10    1056
[28,] "Nevada"            5.16    18.7    34.836    31    922
[29,] "New Hampshire"     5.859    15.6    34.72    70    941
[30,] "New Jersey"        9.774    13.8    46.087    72    904
[31,] "New Mexico"        4.586    17.2    28.493    12    1021
[32,] "New York"          9.623    15.2    47.612    76    898
[33,] "North Carolina"    5.077    16.2    30.793    62    871
[34,] "North Dakota"      4.775    15.3    26.327    7    1113
[35,] "Ohio"              6.162    16.6    36.802    25    981
[36,] "Oklahoma"          4.845    15.5    28.172    11    1032
[37,] "Oregon"            6.436    19.9    38.555    53    953
[38,] "Pennsylvania"      7.109    17.1    44.51    72    885
[39,] "Rhode Island"      7.469    14.7    40.729    70    894
[40,] "South Carolina"    4.797    16.4    30.279    60    849
[41,] "South Dakota"      4.775    14.4    25.994    6    1074
[42,] "Tennessee"         4.388    18.6    32.477    14    1045
[43,] "Texas"             5.222    15.7    31.223    50    899
[44,] "Utah"              3.656    24.3    29.082    6    1082
[45,] "Vermont"           6.75    13.8    35.406    70    907
[46,] "Virginia"          5.327    14.6    33.987    66    902
[47,] "Washington"        5.906    20.2    36.151    50    943
[48,] "West Virginia"     6.107    14.8    31.944    19    937
[49,] "Wisconsin"         6.93    15.9    37.746    10    1079
[50,] "Wyoming"           6.16    14.9    31.285    12    1006

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