I have attached the 4 questions I am working on, along with the data set used to answer the questions. Unfortunately I missed classes due to a sickness so I am a little lost on where to even begin. How should i go about answering these questions?

1. Write the equation that Peter can use for predicting the probability of win ll' the home team (coded as 2) using statistically signicant variables {use d = {1.05). 2. What is the inuence on the match output of red cards conceded by the home and the away team? Discuss the possible reams for the empirical evidence om the model. 3. Is it relevant to use the points scored by a team in the previous season for predicting the outcome of a match? 4. What is the probability that the home team will win the match for the values shown in the following table?l Exhibit 7: Multinomial logistic regression output from SPSS (2 for WIN, 1 for DRAW, and 0 for LOSS) Parameter Estimates 95% Confidence Interval for Exp(B) Standard Lower Upper Match_O' Error Wald df Sig. Exp(B) Bound Bound Intercept 3.535 0.462 58.524 0.000 RED H 0.301 0.572 0.276 0.599 1.351 0.440 4.146 RED A 0.463 0.540 0.736 0.391 1.589 0.552 4.575 POINTS H 0.024 0.009 7.318 0.007 1.024 1.007 1.042 POINTS A -0.018 0.008 5.055 0.025 0.982 0.967 0.998 HTGD 0.511 0.120 18.108 0.000 1.667 1.318 2.110 TOTAL H P D.000 0,004 1,003 0.960 1.000 0,993 1.007 TOTAL A P -.010 0,004 7.169 0.007 0.990 0.982 0.997 FGS 0 -3.521 0.410 73.892 0.000 0,030 0.013 0,066 [FGS-1] 2.819 0.426 43.776 0.000 0.060 0.026 0.137 [FGS 2] 2 Intercept 3.313 0.470 49.620 0.000 RED H -0.81 1 0.743 1.189 0.275 0.445 0.104 1.908 RED A 0.983 0.547 3.237 0.072 2.673 0.916 7.802 POINTS H 0.035 0.009 14.590 D.000 1.036 1.017 1.055 POINTS A 0.035 0.009 16.160 0.000 0.966 0.950 0.982 HTGD 1.618 0.143 127.225 0.000 5.045 3.808 6.683 TOTAL H P 0.010 0.004 7.227 0.007 1.010 1.003 1.018 TOTAL A P 0.015 0.004 13.788 0.000 0.985 0.978 0.993 [FOS 0] -3.320 0.413 64.555 0.000 0.036 0.016 0.081 [FGS-1] -2.473 0.430 33.080 0.000 0.084 0.036 0.196 [FOS 2] The reference category is 0. This parameter is set to zero because it is redundant