Consider the following scatter and residual plots:
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Q: Distance from the beach, x (in miles) Selling price, y (in thousands of dollars) xy 6.3 310.3…
A: Given: n = 16 Formula Used: Slope b = n∑XY-∑X∑Yn∑X2-∑X2
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Q: We want to predict the selling price of a house in Newburg Park, Florida, based on the distance the…
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Q: We want to predict the selling price of a house in Newburg Park, Florida, based on the distance the…
A: Given: sample size n = 16 Formula Used: Correlation coefficient r = n∑XY-∑X∑Yn∑X2-∑X2n∑Y2-∑Y2
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Q: We want to predict the selling price of a house in Newburg Park, Florida, based on the distance the…
A: The variable x is the distance from the beach and variable y is the selling price.
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Q: The table below shows the number of state-registered automatic weapons and the murder rate for…
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Q: The table below shows the number of state-registered automatic weapons and the murder rate for…
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Q: We want to predict the selling price of a house in Newburg Park, Florida, based on the distance the…
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Q: The table below shows the number of state-registered automatic weapons and the murder rate for…
A: x 11.4 8.5 6.6 3.6 2.3 2.5 2.1 0.6 y 13.4 11.4 9.3 7.2 5.9 5.9 5.6 4.3 x=thousands of automatic…
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- The following data set shows the distances a car drives (in miles) on a full tank of gas after 15-fill ups at a gas station. Sorted Distance Per Tank of Gas 215 229 236 239 240 244 247 255 262 264 271 279 280 282 285 (i) (ii) Construct a box -and Whisker plot for the data using a five number summary. Describe the shape of the distribution.Suppose an oceanographer monitors the daily salinity of a particular ocean in relation to the temperature of the water. The oceanographer plots the data with temperature, in degrees Celsius (°C), along the horizontal axis and salinity, in parts per thousand (ppt), along the vertical axis. Select the true statement about the data point identified by the arrow. An ocean temperature of 21 °C causes the salinity to be 29 ppt. The predicted salinity is 29 ppt when the ocean temperature for the day is 21 °C. An ocean temperature of 29 °C corresponds to a salinity level of 21 ppt. The observed salinity is 29 ppt when the ocean temperature for the day is 21 °C. There is no relationship between the temperature of the ocean on a given day and salinity.Perform PCA or principle component analysis on the following data: х1 x2 x3 810.6 13.4 42.93 1775 24.2 32.319 430.4 5.7 60.434 459.8 9 21.398 802.4 13.9 55.778 279.6 20.4 53.236 288.4 4.6 63.208 152.7 7.3 59.727 253.4 9.9 48.037 358.6 13.5 48.288 72 12.8 36.507 205 5.9 37.195 253.6 15.8 36.964 416.5 12.3 42.83 1075.9 17.1 39.684 Answer the following questions based on the PCA: • How many principle components were created? • What percent of total variance is accounted for by the calculated principal components? (Round to 2 decimal places) • What are the weights for computing the first principle component scores? (Round to 4 decimal places) o x1: • x2: o x3:
- You have been hired to measure the concentration of ammonia in water from wells at two districts on Long Island. After sampling 10 wells in one of the districts you find the values are, in mg/L: 6.4, 2.1, 1.4, 0.7, 6.8, 3.2, 2.7, 1.6, 4.9, 1.2. Your assistant plots the data from the second set of wells and the histogram of data from that sample looks pretty much the same as for your data set. Which statistical test do you anticipate that you will use? An one-sample t-test An unpaired, two-sample t-test A paired, two-sample t-test A one-way anova A Mann-Whitney U test Main ContentThe table below shows the number of state-registered automatic weapons and the murder rate for several Northwestern states. x 11.8 8.2 6.8 3.5 2.8 2.8 2.3 0.5 y 13.9 10.8 10.1 7.2 6.5 6.5 6.3 4.8 x = thousands of automatic weapons y = murders per 100,000 residents This data can be modeled by the equation y = 0.81x + 4.35. Use this equation to answer the following; Special Note: I suggest you verify this equation by performing linear regression on your calculator. A) How many murders per 100,000 residents can be expected in a state with 7 thousand automatic weapons? Round to 3 decimal places. B) How many murders per 100,000 residents can be expected in a state with 7.8 thousand automatic weapons? Answer = Answer = Round to 3 decimal places.We want to predict the selling price of a house in Newburg Park, Florida, based on the distance the house lies from the beach. Suppose that we're given the data in the table below. These data detail the distance from the beach (x, in miles) and the selling price (y, in thousands of dollars) for each of a sample of sixteen homes sold in Newburg Park in the past year. The data are plotted in the scatter plot in Figure 1. Also given is the product of the distance from the beach and the house price for each of the sixteen houses. (These products, written in the column labelled "xy", may aid in calculations.) Distance from the beach, x (in miles) 7.7 18.5 6.3 11.9 11.0 14.6 11.3 3.0 Selling price, y (in thousands of dollars) 290.8 215.0 304.4 269.9 283.2 203.4 212.4 263.2 197.3 272.2 215.1 241.6 312.3 221.5 279.1 236.1 10.9 4.9 12.5 5.8 3.6 5.7 9.4 8.1 Send data to calculator xy 2239.16 3977.5 1917.72 3211.81 3115.2 2969.64 2400.12 789.6 2150.57 1333.78 2688.75 1401.28 1124.28 1262.55…
- In the United States, it is illegal to drive with a blood alcohol concentration of 0.08 or higher. (A blood alcohol concentration of 0.08 indicates 0.08% alcohol in the blood.) The scatter plot shows the relationship between the number of one-ounce beers consumed per hour by a 200-pound person and that person's corresponding blood alcohol concentration. Also shown is a line that passes through or near the data points. Blood Alcohol Concentration Based y on a Body Weight of 200 Pounds 0.14 0.12 0.10 (7, 0.121) 0.08 0.06 0.04 (3, 0.053) 0.02 2 3 4 5 7 Number of Beers per Hour Source: National Highway Traffic Safety Administration a. Use the two points whose coordinates are shown by the voice balloons to find the point-slope form of the equation of the line that models the blood alcohol concentration of a 200-pound person, y, who consumes x one-ounce beers per hour. b. Write the equation from part (a) in slope-intercept form. Use function notation. c. Use the linear function to predict…We want to predict the selling price of a house in Newburg Park, Florida, based on the distance the house lies from the beach. Suppose that we're given the data in the table below. These data detail the distance from the beach (x, in miles) and the selling price (y, in thousands of dollars) for each of a sample of fifteen homes sold in Newburg Park in the past year. The data are plotted in the scatter plot in Figure 1. Also given is the product of the distance from the beach and the house price for each of the fifteen houses. (These products, written in the column labelled "xy", may aid in calculations.) Distance from the beach, x (in miles) Selling price, y (in thousands of dollars) xy 5.0 270.1 1350.5 11.5 205.9 2367.85 5.9 309.4 1825.46 12.2 200.6 2447.32 2.6 307.1 798.46 5.9 266.0 1569.4 8.3 297.3 2467.59 18.3 224.2 4102.86 6.5 242.4 1575.6 12.1 192.6 2330.46 11.6 229.4 2661.04 9.5 230.9 2193.55 10.1 277.0 2797.7 13.5 270.8 3655.8 6.2…Body Fat. Where we considered the regression of percentage of body fat on nine body measurements: height, weight, hip, forearm, neck, wrist, triceps, scapula, and sup. Describe and discuss problems that could have arisen in the collection of the data for this regression analysis.
- The amygdala is a brain structure involved in the processing and memory of emotional reactions. In a research project, 10 subjects were shown emotional video clips. They then had their brain scanned with positron emission tomography (PET) and their memory of the clips was assessed quantitatively. Here are the relative amygdala activity and the memory score for each subject: The relationship is (Linear or curved) and ( Moderate, weak, or strong)? The direction of the realtionship is (Negitive or positive)? The amygdala and memory 3/4: The correlation coefficient between relative activity and memory score is: (round your answer to 3 decimal places)A traffic safety company publishes reports about motorcycle fatalities and helmet use. In the first accompanying data table, the distribution shows the proportion of fatalities by location of injury for motorcycle accidents. The second data table shows the location of injury and fatalities for 2061 riders not wearing a helmet. Complete parts (a) and (b) below. Click the icon to view the tables. (a) Does the distribution of fatal injuries for riders not wearing a helmet follow the distribution for all riders? Use α = 0.05 level of significance. What are the null and alternative hypotheses? O A. Ho: The distribution of fatal injuries for riders not wearing a helmet follows the same distribution for all other riders. H₁: The distribution of fatal injuries for riders not wearing a helmet does not follow the same distribution for all other riders. B. Ho: The distribution of fatal injuries for riders not wearing a helmet does not follow the same distribution for all other riders. H₁: The…The table below shows the number of state-registered automatic weapons and the murder rate for several Northwestern states. X Y 11.4 8.6 7.2 3.6 13.5 11.3 10.1 x = thousands of automatic weapons y = murders per 100,000 residents 2.4 2.8 2.3 0.9 7 6.1 6.6 5.9 4.7 This data can be modeled by the equation y = 0.83x +4.06. Use this equation to answer the following; Special Note: I suggest you verify this equation by performing linear regression on your calculator. Answer = A) How many murders per 100,000 residents can be expected in a state with 2.7 thousand automatic weapons? Answer = Round to 3 decimal places. B) How many murders per 100,000 residents can be expected in a state with 11 thousand automatic weapons? Round to 3 decimal places.