Need answers ASAP

Ordinary least squares method was used to fit a regression model to predict income (in thousands of dollars) from the following predictors: X1 = education X2 = gender (where male = 0 and female = 1) X3 = interaction between education and gender The model produced the following coefficients: B, = -11.52, B, = 2.99, , = 1.01, 3 = -0.94. On average, how much income do men and women get if they have 20 years of education? %3D %3D Key A Men: $48.28 thousand; Women: $30.49 thousand B Men: $48.28 thousand; Women: $28.08 thousand C Men: $59.80 thousand; Women: $41.00 thousand D Men: $59.80 thousand; Women: $20.20 thousand

1. Conduct a test for the following hypotheses at a 90% level of confidence: Ho: fo fits fe (observed frequencies are consistent with those expected) H: fo does not fit fe (observed frequncies are inconsistent with those expected) Doneness f. Rare 20 28 Medium 40 35 Well 60 57 Ho: is... accepted'irejected Does f, fit f,? 0000

A coin operated Parking Meter has the capacity to store 2000 coins. Once it is full and cannot accept any more coins in will stop working. We are particularly interested in the public parking on Elizabeth Street. The number of coins deposited daily by this meter is normally distributed with a mean of 180 and a standard deviation of 45. a. Determine the probability that no more than 280 coins are deposited into the meter on a randomly selected day. b. Determine the probability that no more than 1800 coins are deposited into the meter over a period of eight days. Also briefly explain why the result in part "b" is larger than "a". You must quote a theory in few words. The company has 110 public parking meter around the city. A random sample of 10 meters are surveyed and are found to have an average age of 365 days and a standard deviation of 10 days. c. Find 90% confidence interval for the average age of all meters in the city. Be careful to state any assumptions that you need to make. Explain whether this result in consistent with the company's belief that the average age of all the phones in the city in 365 days. S,

The city of Cleveland has been hit hard by the recent wave of foreclosures, so city authorities decided to conduct an analysis of foreclosed properties. They researched 300 homeowners who had recently foreclosed properties, and classified their mortgages based on whether they were "regular" (e.g., conventional 30-year fixed rate mortgages), or "alternate" (variable or adjusting rate mortgages). Additionally, the city categorized credit scores of these 300 homeowners at the time of foreclosure, into the following four groups: "549 or below", "550-649", "650-719", and "720 or above" . Based on the relative frequencies of this information, the following probability table was constructed. Use this table to answer questions 1 to 7. <549 550 649 650 719 2720 0.28 0.32 0.07 0.03 0.35 Regular 0.02 Alternate |0.10 0.12 0.12 0.18