Suppose we are interested in purchasing a multi-functioning inkjet printer. We want to see how the performance factors related to the price of the printer. Collected data from 20 printers include below information. PPM: Printing rate (pages per minutes) for a set of print jobs Price: Typical retail price (in dollars) at the time of the review. Data is not provided to you, but the default MINITAB output is provided to you. As you can see it is a partial output where you have to do some calculations using the provided information. Use the provided output to answer below questions. Regression Analysis: Price versus PPM Analysis of Variance DF Adj SS Adj MS F-Value P-Value Source Regression 1 PPM 1 74540 74540 74540 74540 21.75 0.000 21.75 0.000 Error 18 Lack-of-Fit 11 44191 Pure Error 7 17506 61697 3428 4017 2501 161 0.271 Total 19 136237 Model Summary S 58.5457 R-sq R-sq(adj) R-sq(pred) 54.71% 52.20% 42.25% Coefficients Term Coef SE Coef T-Value Constant PPM -94.2 90.9 56.4 -1.67 P-Value...

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A researcher is interested in studying how age (in years) associates with resting heart rate (beats per minutes) of adult men. He recruited 35 adult men and recorded their age and measured the resting heart rate (RHR). The researcher is specially interested in understanding whether the resting heart rate of older men is higher. Below MINITAB outputs are provided to you. Output 1 Output 2 Regression Equation RHR 67.89 +0.1576 Age Coefficients Regression Equation Age -78.8 +1.480 RHR Term Coef SE Coef T-Value P-Value VIF Coefficients Constant 67.89 1.42 47.90 0.000 Age 0.1576 0.0497 3.17 0.003 1.00 Term Constant -78.8 RHR 1.480 Coef SE Coef T-Value P-Value VIF 33.8 -2.33 0.467 3.17 0.026 0.003 1.00 Model Summary S R-sq R-sq(adj) R-sq(pred) 0.811306 23.33% 21.01% 13.11% Analysis of Variance Source DF Adj SS Adj MS F-Value P-Value Model Summary S R-sq R-sq(adj) R-sq(pred) 2.48678 23.33% 21.01% Analysis of Variance 10.93% Regression 1 6.609 6.6094 10.04 0.003 Source DF Adj SS Adj MS F-Value...

Suppose we are interested in purchasing a multi-functioning inkjet printer. We want to see how the performance factors related to the price of the printer. Collected data from 20 printers include below information. PPM: Printing rate (pages per minutes) for a set of print jobs Price: Typical retail price (in dollars) at the time of the review. Data is not provided to you, but the default MINITAB output is provided to you. As you can see it is a partial output where you have to do some calculations using the provided information. Use the provided output to answer below questions. Regression Analysis: Price versus PPM Analysis of Variance DF Adj SS Adj MS F-Value P-Value Source Regression 1 PPM 1 74540 74540 74540 74540 21.75 0.000 21.75 0.000 Error 18 Lack-of-Fit 11 44191 Pure Error 7 17506 61697 3428 4017 2501 161 0.271 Total 19 136237 Model Summary S 58.5457 R-sq R-sq(adj) R-sq(pred) 54.71% 52.20% 42.25% Coefficients Term Coef SE Coef T-Value Constant PPM -94.2 90.9 56.4 -1.67 P-Value...

Please answer Question 4

A researcher conducts an experiment to examine the relationship between the weight gain of chickens whose diets had been supplemented by different amounts of amino acid lysine and the amount of lysine ingested. Since the percentage of lysine is known, and we can monitor the amount of feed consumed, we can determine the amount of lysine eaten. A random sample of twelve 2-week-old chickens was selected for the study. Each was caged separately and was allowed to eat at will from feed composed of a base supplemented with lysine. The ample data summarizing weight gains and amounts of lysine eaten over the test period are given below. (In the data ✓, y represents weight gain in grams, and x represents the amount of lysine ingested in grams.) Chick y X 1 14.7 0.09 2 17.8 0.14 3 19.6 0.18 4 18.4 0.15 5 20.5 0.16 6 21.1 0.23 7 17.2 0.11 8 18.7 0.19 9 20.2 0.23 10 16.0 0.13 11 17.8 0.17 12 19.4 0.21 1. (3 points) Create a scatterplot of the data using Minitab and paste it below. Does a linear...

Can you please explain which answer is correct. I'm undecided on whether b or c is the correct answer. Thanks

Consider the Markov chain with incidence matrix 0 1/2 0 1/2 00 0 0 1/3 0 2/3 0 1/4 0 1/2 0 0 1/4 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 00 1 (1000) a. Pil equals 0 b. Pil (1000) is nonzero but very small (1000) c. P36 is close to 1 d. P14 (1000) is close to 1

Can you please explain which answer is correct. I'm undecided on whether a or b is the correct answer. Thanks

During a pandemic, a person's state of health is monitored by recording each day whether they are in: State 1: Alive, healthy and have never been infected by the disease, State 2: alive and infected with the disease, State 3: alive, recovered from a previous infection of the disease, or State 4: dead. Suppose that X, is the state of health of a particular person on day 1 of the pandemic and that this is modelled by a Markov chain with transition matrix: 0.99 0.01 00 0 0.899 0.1 0.001 0 0 1 0 0 001 Which of the following is a valid criticism of this model? a. State 4 should not be absorbing. b. There should be a positive transition probability from State 3 to State 2. C. There should be a positive transition probability from State 3 to State 4. ○しろまる d. The transition probability from State 1 to State 1 is too high. e. The probability of being absorbed by State 4 is not realistic.