The president of a small manufacturing firm is concerned about the continual increase in manufacturing costs over the past several years. The following figures provide a time series of the cost per unit for the firm's leading product over the past eight years. Year Cost/Unit ($) 1 20.0 2 24.5 3 28.2 4 27.5 5 26.6 6 30.0 7 31.0 8 36.0     What type of pattern exists in the data?         (b) Use simple linear regression analysis to find the parameters for the line that minimizes MSE for this time series.   If required, round your answers to two decimal places.   y-intercept, b0 =   Slope, b1 =   MSE =     (c) What is the average cost increase that the firm has been realizing per year?   Round your interim computations and final answer to two decimal places.   $     (d) Compute an estimate of the cost/unit for next year.   If required, round your answer to two decimal places.   $

Suppose you are working as a data scientist for an online retailer, and you are tasked with optimizing the pricing strategy for a new product. The product is currently priced at $50, but you want to determine whether a higher or lower price would result in greater profit. You estimate that the demand for the product can be modeled using a normal distribution with a mean of 100 units per day and a standard deviation of 20 units per day. The cost of producing each unit is $30, and the retailer's profit is the difference between the revenue and the cost. The retailer incurs a fixed cost of $1000 per day for operating expenses, regardless of the number of units sold. Use simulation to answer to the question.

When and why should you utilise the proportional, binomial, and poisson regression models? To what ends do these models use the degrees of flexibility they provide?

To see how accurate your trend line is, right click the line and select Describe Trend Line. Tableau will show you the regression equation and the p-value for its overall significance.  Group of answer choices True False

The proportion of variance explained by a principal component (PVE) is the variance of this principal component over the total variance of the dataTrueFalse

The Frequentist approach looks at   Question 17 options:   the long-term relative frequency of events occurring   both single events occurring and the long-term relative frequency of events occurring   a single event occurring    neither single events occurring nor the long-term relative frequency of events occurring For data that is approximately normally distributed, any observation more than 1 standard deviation away from the mean is an outlier.   Question 26 options:   True   False

You are building a classification model to predict whether a firm will go bankrupt within the next 5 years. When you collect the data, you find that the number of instances of firms that went bankrupt is smaller than the number of cases of firms that did not go bankrupt. Specifically, only 7% of the firms went bankrupt, while the rest did not go bankrupt. Once you build the classification model, you need to compare performance against a baseline. Which of the following would be an appropriate baseline? O Always predicting that the firm does not go bankrupt O Making a prediction that a firm goes bankrupt with 7% probability O Always predicting that the firm goes bankrupt Making a prediction from the set (bankrupt, not bankrupt) with equal probability

Use the 20 year Global Warming Potential (GWP) values in the first Table to calculate an equivalent CO2 emission rate for worldwide greenhouse gas emissions as given in the second table. Assume that total CFCs are divided equally among the three compounds listed. What is the percentage contribution of actual CO2 emissions to the total equivalent CO2? What is the next most important greenhouse gas emission based on this analysis? How do these results compare to those using the 100-year GWP.

A wholesaler sells printer cartridges. The minimum order quantity is 10. There is a 20% discount for orders of 200 or more printer cartridges. You have been asked to prepare test cases using various values for the number of printer cartridges ordered. Which of the following groups contain three test inputs that would be generated using Boundary Value Analysis?

Calculate the Theil index and the Atkinson index (use   = 1) of house-hold income for all households and by race (in other words, calculate the inequality measures within racial categories).   what would be the code for the above question in stata?