Group4_Milestone 2

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The table (on the right) shows the daily COVID-19 confirmed cases in Toronto region from March 8, 2020 to May 16, 2020. (Source: Ontario Public Health ) Year Dally cases (# people) March 8- March 14 50 March 15-March 21 202 a) Use DESMOS graphing technology to create a scatter plot of the data on the next page. Choose March 8- March 14 as week March 22-March 28 357 March 20-April 459 b) On the DESMOS graphing calculator, Determine a linear, a quadratic, and an exponential model using regression. April 5-April 11 085 April 12-April 18 1506 April 19-April 25 1532 April 26-May 2 1201 May 3- May 0 1126 May 10- May 16 071 c) Write the equation of the three models in the table below. Do not write the general regression equations Models Equation R SQUARE VALUE linear model 1 1 Quadratic model 2 Exponential model 3 3 d) Which model fits the data best? Justify using the value of the coefficient of determination

Define multiperiod forecasting. Which Method Should we Use?

What measures of fit are typically used to assess binary dependent variableregression models?

Can you answer A,B,C with clear answers. You can use the data in the second photo

ile C:/Users/anl 8. As was discussed in the Analytics in Action from Chapter 2, the U.S. Census Bureau is a leading source of quantitative data related to the people and economy of the United States. The crosstabulation below represents the number of households (1,000s) and the household income by the highest level of education for the head of household (U.S. Census Bureau web site, 2013). Use this crosstabulation to answer the following questions. Household Income $25,000 to $50,000 to $100,000 $99,999 Highest Level of Education Under Total and Over $49,999 $25,000 32,773 9,441 3,482 9,880 9,970 High school graduate Bachelor's degree Master's degree Doctoral degree 7,817 22,131 4,164 7,666 2,484 4,094 9,003 3,019 685 1,205 422 1,076 1,737 79 160 15,499 20,548 13,128 16,469 65,644 Total a. Develop a joint probability table. b. What is the probability the head of one of these households has a master's degree or higher education? c. What is the probability a household is headed by…

Could you please graph this table with scatter plot and add regression line. Also could you please share this graph to me with google drive link.

Days Precipitation Yield 261 34.2 115 215 53.7 178 202 42.8 131 238 36.9 147 170 39.1 137 323 13.4 191 220 63.2 133

Globally, numerous people died in road traffic crashes every year. For the betterment of the public at large, ways to alleviate the frequency and severity of traffic crashes have been the primary concerns of many governments. In fact, many traffic crashes can be avoided with the implementation of effective policies and regulations. Assume that a dataset is collected for traffic crash analysis. The dataset contains data of severe traffic crashes between 2015 and 2019 in Australia. The description of the dataset is listed in Table 1. Suggest two (2) additional variables that can be included in traffic crash analysis. Explain the rationale of their inclusion. Table 1. Description of the dataset Field Description Experience The driving experience of the driver (Under 7 years/7- 14 years/Over 14 years) Whether the crash involves fatigue driving (True/False) Whether the crash involves drunk or drug driving (True/False) The type of road where the crash occurs (E.g., Highway, Freeway, etc) The…

3. If a set of data has a mode, then must the mode beone of the numbers in the set? Explain.

Chapter 6, Section 4-HT, Exercise 228 - MathPad Survival Status and Heart Rate in the ICUThe dataset ICUAdmissions contains information on a sample of 200 patients being admitted to the Intensive Care Unit (ICU) at a hospital. One of the variables is HeartRate and another is Statuswhich indicates whether the patient lived (Status=0) or died (Status=1). The computer output below shows the details of a test to determine whether mean heart rate is different between patients who lived and died. (You should not do any computations. State the hypotheses based on the output, read the p-value off the output, and state the conclusion).   Two-sample T for HeartRate Status N Mean StDev SE Mean 0 160 98.5 27.0 2.1 1 40 100.6 26.5 4.2 Difference = μ (0)  − μ (1) Estimate for difference: -2.12 95% CI for difference: (-11.53,7.28) T-Test of difference =0 (vs not = ): T-Value =-0.45 P-Value =0.653 DF =60Click here for the dataset associated with this question.…

Provide a reason why the classication of data is important.