Plot (A) Plot (B) Plot (C) [Choose ] r = 1.1 r = -0.85 r = 0.53 r = -0.38 r = 0.06 r = 0.97

Here are yesterday's high temperatures (in Fahrenheit) in 15 U.S. cities. 48, 50, 51, 52, 53, 54, 55, 55, 61, 62, 71, 72, 75, 76, 80. Notice that the temperatures are ordered from least to greatest. Make a box-and-whisker plot for the data. H +++D 55 60 65 70 80 Temperature 45 Continue 50 5₁ X Ś

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…

Match the chart type to whether it is used primarily to communicate qualitative or quantitative results: Chart Type 1. Pie chart 2. Box and whisker plot 3. Word cloud 4. Symbol map 5. Scatter plot 6. Line chart Quantitative or Qualitative?

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…

The data in the accompanying table represent the length of life, in years, measured to the nearest tenth, of 30 similar fuel pumps. Complete parts (a) through (c) below. Click the icon to view the fuel pump data. (a) Construct a stem-and-leaf plot for the life in years of the fuel pumps, using the digit to the left of the decimal point as the stem for each observation. Stem Leaf Frequency Get more help. Fuel Pump Life Spans 2.4 3.3 0.4 3.1 1.3 0.2 0.5 5.6 5.9 6.2 0.5 2.4 1.4 4.3 6.3 1.7 4.9 0.2 4.6 0.4 1.5 0.5 2.3 4.8 1.0 5.6 5.9 6.0 1.2 0.2 Print Done -X eck answ

Given data of height, x and stories, y is of six notable buildings in a city. height numbers: 768, 628, 518, 511, 491, 478 and stories numbers: 52, 48, 46, 43, 37, 35.  What is the scope and y intercept of this? Round the scope to three decimal places as needed. Round the y-intercept to two decimal places as needed.

The height (sidewalk to roof) of notable tall buildings in America is compared to the number of stories of the building (beginning at street fevel). Storles Helght (In feet) 57 1050 28 428 362 529 26 40 60 790 22 401 38 380 110 1454 100 1127 46 700 a. Plot the points in the grid below, then sketch a line that best fits the data. 1500 1400 1300 1200 100 1000 900 800 esc 80 288 21l %23 %24 2 3 4. 8 tab Q W R Y A S caps lock K C M control option command B >

Given the following frequency poly 2234 20 16 14 12 10 S 2 0 3 Find the upper limit of the third class A. 16 B. 20 13 18 23 C. 10 28 D. 24

How to Create a Scatter Plot: 1. Plot each point on the graph, using the values as coordinate points. 2. Draw a line through the points, which shows the general directions of the points. The line should go as much through the middle of all the points as is possible. This is called the line of best fit. The data below shows the temperature and the number of ice creams sold at a particular location on ten different days. Temperature (Celsius) Number of Ice Creams Sold 23 53 17 35 21 48 16 35 18 38 22 52 15 30 18 42 13 19 19 44