1) [tex]\overline{UT}[/tex]
2) [tex]\overline{UT} \cong \overline{UT}[/tex]
3) [tex]\overline{BT} \cong \overline{EU}[/tex]
4) [tex]\overline{BU} \cong \overline{ET}[/tex]
5) [tex]\triangle UBT \cong \triangle TEU[/tex] by SSS
6) CPCTC
help i forgot how to do this and this is one of the last questions on my summer homework
Answer:
162°
Step-by-step explanation:
They are on a straight line so add to 180
8x + 10 + 2x - 20 = 180
10x - 10 = 180
10x = 190
x = 19
We want AXB so 8x + 10 where x = 19
8(19) + 10 = 162 so it is 162°
Answer:
162 degrees
Step-by-step explanation:
These two angles add up to 180.
8x + 10 + 2x - 20 =180 Next combine the x terms and the constant terms
10x -10 = 180 Next Add 10 to both sides
10x = 190 D Next divide both sides by 10
x = 19. Now that we know x, we can solve for <AXB
8x + 10
8(19) + 10
152 + 10 = 162
Part 2: Organize Your Data
Create a table of values using the age and number of U.S. states named in 60 seconds.
A graph is provided with the first five points plotted. Use your table to add your five data points to the scatter plot.
You may create a new graph from scratch, containing all 10 points, print the sample graph and add your data, or save the sample as an image and use a drawing program to add your data to the image. If you choose to print and draw by hand, you need to be able to scan and upload your work at the end of the project.
A coordinate plane is shown. The x axis is labeled age in years and the y axis is labeled number of U.S. States named in 60 seconds. Five data points are already plotted on the graph. These points are located at 5 comma 7, 15 comma 42, 25 comma 49, 35 comma 35, and 65 comma 50.
Draw a line of best fit through your scatter plot. Draw by hand on your printed graph or use a drawing program on your computer to create the line.
Part 3: Drawing Conclusions
How did you decide where to place your line of best fit? Describe your reasoning.
Based on your data, describe the relationship between age and the number of U.S. states a person can name in 60 seconds.
Do you see any areas in your data or points that could be considered clusters or outliers? Explain your answer in complete sentences.
Write an Algebraic expression and simplify it if possible:
200% of y