6 assignment (wk 2)
usa94
WS2Homework3.xlsxPrb5
| Crickets | Temperature | Place Scatterplot here: | DIRECTIONS: | ||||||||
| 882 | 69.7 | Using the data, create a scatterplot. Assign min X axis value = 750 and y axis min of 50. | (8 Points) | ||||||||
| 1188 | 93.3 | ||||||||||
| 1104 | 84.3 | Question: | |||||||||
| 864 | 76.3 | Does the chart look like a positive relationship, negative relationship, or no relationship? | |||||||||
| 1200 | 88.6 | (2 points) | |||||||||
| 1032 | 82.6 | ||||||||||
| 960 | 71.6 | Source: Essentials of Statistics by Mario Triola | |||||||||
| 900 | 79.6 | ||||||||||
| Access this helpful video: | Video | ||||||||||
| chirps in 1 minute | degrees F | ||||||||||
Prb6
| Lemon Imports | Crash Fatality Rate | Place Scatterplot here: | DIRECTIONS: | |||||||||
| 230 | 15.9 | Using the data, create a scatterplot. Assign min X axis value = 120. Then create the trend line with the regression equation showing on the chart. | (8 Points 4 for trend line and 4 for equation) | |||||||||
| 265 | 15.7 | |||||||||||
| 358 | 15.4 | Question: | ||||||||||
| 480 | 15.3 | Predict the Crash Rate for 500 tons of lemon imports? | ||||||||||
| 530 | 14.9 | |||||||||||
| (2 points) | ||||||||||||
| weight in tons | per 100,000 people | |||||||||||
| Source: Essentials of Statistics by Mario Triola | ||||||||||||
| Access this helpful video: | Video |
Prb7
| PSAT | SAT | Place Scatterplot here: | DIRECTIONS: | |||||||||
| 183 | 2200 | Using the data, create a scatterplot. Assign min X axis value = 120. Then create the trend line with the regression equation showing on the chart. | (8 Points 4 for trend line and 4 for equation) | |||||||||
| 207 | 2040 | |||||||||||
| 167 | 1890 | Question: | ||||||||||
| 206 | 2380 | Predict the SAT for a PSAT of 229 | ||||||||||
| 197 | 2290 | |||||||||||
| 142 | 2070 | (2 points) | ||||||||||
| 193 | 2370 | |||||||||||
| 176 | 1980 | |||||||||||
| Source: Essentials of Statistics by Mario Triola | ||||||||||||
| Access this helpful video: | Video |
Prb8
| Enrollment | Burglaries | Place Scatterplot here: | DIRECTIONS: | |||||||||
| 32 | 103 | Using the data, create a scatterplot. Assign min X axis value = 20. Then create the trend line with the regression equation showing on the chart. | (8 Points 4 for trend line and 4 for equation) | |||||||||
| 31 | 103 | |||||||||||
| 53 | 86 | Question: | ||||||||||
| 28 | 57 | Predict the burglaries for 51.8 enrollment? | ||||||||||
| 27 | 32 | |||||||||||
| 36 | 131 | (2 points) | ||||||||||
| 42 | 157 | |||||||||||
| 30 | 20 | |||||||||||
| 34 | 27 | |||||||||||
| 46 | 161 | |||||||||||
| Source: Essentials of Statistics by Mario Triola | ||||||||||||
| Access this helpful video: | Video |
Prb9
| Altitude | Temperature | Place Scatterplot here: | DIRECTIONS: | |||||||||
| 3 | 57 | Using the data, create a scatterplot. Assign min X axis value = 0. Then create the trend line with the regression equation showing on the chart. | (8 Points 4 for trend line and 4 for equation) | |||||||||
| 10 | 37 | |||||||||||
| 14 | 24 | Question: | ||||||||||
| 22 | -5 | Predict the temperature for 6.327 (in thousands of feet)? | ||||||||||
| 28 | -30 | |||||||||||
| 31 | -41 | (2 points) | ||||||||||
| 33 | -54 | |||||||||||
| thousands of feet | degrees F | |||||||||||
| Source: Essentials of Statistics by Mario Triola | ||||||||||||
| Access this helpful video: | Video |
Prb10
| Crickets | Temperature | Place Scatterplot here: | DIRECTIONS: | |||||||||
| 882 | 69.7 | Using the data, create a scatterplot. Assign min X axis value = 750 and y axis min of 50. Then create the trend line with the regression equation showing on the chart. | (8 Points 4 for trend line and 4 for equation) | |||||||||
| 1188 | 93.3 | |||||||||||
| 1104 | 84.3 | Question: | ||||||||||
| 864 | 76.3 | Predict the temperature for 1000 chirps per minute? | ||||||||||
| 1200 | 88.6 | |||||||||||
| 1032 | 82.6 | (2 points) | ||||||||||
| 960 | 71.6 | |||||||||||
| 900 | 79.6 | |||||||||||
| chirps in 1 minute | degrees F | |||||||||||
| Source: Essentials of Statistics by Mario Triola | ||||||||||||
| Access this helpful video: | Video |
