Scatter Plot Worksheet For questions 1-3 a. Identify the ... - Free Printable
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Step-by-step solution for: Scatter Plot Worksheet For questions 1-3 a. Identify the ...
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Show Answer Key & Explanations
Step-by-step solution for: Scatter Plot Worksheet For questions 1-3 a. Identify the ...
Let’s go step by step through each question.
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Question 1:
Look at the scatter plot. The points go from top-left to bottom-right — as x increases, y decreases. That means there’s a negative correlation.
Real-life situation: Think of how much time you spend playing video games vs. your test scores. More gaming might mean lower scores — so as one goes up, the other goes down.
→ a. Negative correlation
→ b. Example: Hours spent watching TV vs. grades in school (more TV = lower grades)
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Question 2:
The points are all over the place — no clear pattern going up or down. So, no correlation.
Real-life situation: Shoe size vs. favorite color. There’s no reason these should be related — big shoes don’t mean you like blue more!
→ a. No correlation
→ b. Example: Number of pets someone has vs. their height
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Question 3:
Points go from bottom-left to top-right — as x increases, y increases. That’s a positive correlation.
Real-life situation: How many hours you study vs. your quiz score. More studying usually leads to higher scores.
→ a. Positive correlation
→ b. Example: Amount of practice vs. performance in sports
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Question 4:
We need to make a scatter plot using the table data.
Let’s pick:
- X-axis: Homeowners (regular residents)
- Y-axis: Vacation homeowners
Plot these pairs:
(2090, 973) → 1997–98
(1987, 967) → 1996–97
(1948, 1041) → 1995–96
(1897, 1043) → 1994–95
(1962, 1125) → 1993–94
(1852, 1126) → 1992–93
Now look at the trend: As regular homeowners decrease slightly over time, vacation homeowners increase. But if we plot homeowners (x) vs vacation homeowners (y), when x is high (like 2090), y is low (973). When x is low (like 1852), y is high (1126). So it looks like a negative trend.
Draw a line that slopes downward from left to right — that’s the trend line.
You can sketch this on graph paper with x from ~1800 to 2100 and y from ~950 to 1150.
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Question 5:
Look at the points. They form a straight vertical line? Wait — actually, they’re stacked vertically at x=0? Let me check coordinates.
From the grid: Points seem to be at:
(-1, 10), (-1, 12), (-1, 14), (-1, 16)? Wait — looking again...
Actually, plotting carefully:
It seems points are at:
x = -1: y = 10, 12, 14, 16? Or maybe not.
Wait — let's read the grid properly.
Assuming origin O is (0,0).
Looking at Question 5 graph:
Points appear to be:
At x = -1: y = 10, 12, 14, 16? Actually, looking at labels — y-axis has 10, 12, 14, 16 marked.
But also point at (0, 10)? And maybe (1, 10)?
Actually, re-examining — perhaps better to list approximate coordinates:
Let’s assume:
Point A: (-1, 16)
Point B: (-1, 14)
Point C: (-1, 12)
Point D: (-1, 10)
Point E: (0, 10)
Point F: (1, 10)
This does NOT follow a linear pattern — because for same x=-1, multiple y values. Also, then jumps to (0,10) and (1,10). Not a function, definitely not linear.
So — does NOT follow a linear pattern.
No equation needed.
---
Question 6:
Grid shows points roughly at:
(-3, 6), (-2, 4), (-1, 2), (0, 0), (1, -2), (2, -4), (3, -6)
Check slope between first two: from (-3,6) to (-2,4): rise = -2, run = +1 → slope = -2
Next: (-2,4) to (-1,2): same → slope = -2
Then (-1,2) to (0,0): slope = -2
All consistent! So yes, linear.
Equation: y = mx + b
m = -2
Use point (0,0): y = -2x + 0 → y = -2x
Check another point: x=3 → y=-6 ✔️
→ Yes, linear. Equation: y = -2x
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Question 7:
Points seem to be:
(-6, 2), (-5, 4), (-4, 6), (-3, 8), (-2, 10), (-1, 12), (0, 14), (1, 16), (2, 18)
Check slope:
From (-6,2) to (-5,4): rise=+2, run=+1 → slope=2
Same for next: (-5,4) to (-4,6): slope=2
Continues consistently.
So linear.
Equation: y = mx + b
m = 2
Use point (0,14): y = 2x + 14
Check: x=-6 → y=2*(-6)+14 = -12+14=2 ✔️
x=2 → y=4+14=18 ✔️
→ Yes, linear. Equation: y = 2x + 14
---
Final Answers:
1a. Negative correlation
1b. Example: Hours spent watching TV vs. test scores
2a. No correlation
2b. Example: Shoe size vs. favorite color
3a. Positive correlation
3b. Example: Study time vs. quiz score
4. Scatter plot drawn with negative trend; trend line sloping downward
5. Does NOT follow linear pattern
6. Follows linear pattern; equation: y = -2x
7. Follows linear pattern; equation: y = 2x + 14
──────────────────────────────────────
Final Answer:
1a. Negative correlation
1b. Example: More TV time → lower test scores
2a. No correlation
2b. Example: Shoe size and favorite color have no relationship
3a. Positive correlation
3b. Example: More study time → higher quiz scores
4. Plot points: (2090,973), (1987,967), (1948,1041), (1897,1043), (1962,1125), (1852,1126); draw downward-sloping trend line
5. Not linear
6. Linear; y = -2x
7. Linear; y = 2x + 14
---
Question 1:
Look at the scatter plot. The points go from top-left to bottom-right — as x increases, y decreases. That means there’s a negative correlation.
Real-life situation: Think of how much time you spend playing video games vs. your test scores. More gaming might mean lower scores — so as one goes up, the other goes down.
→ a. Negative correlation
→ b. Example: Hours spent watching TV vs. grades in school (more TV = lower grades)
---
Question 2:
The points are all over the place — no clear pattern going up or down. So, no correlation.
Real-life situation: Shoe size vs. favorite color. There’s no reason these should be related — big shoes don’t mean you like blue more!
→ a. No correlation
→ b. Example: Number of pets someone has vs. their height
---
Question 3:
Points go from bottom-left to top-right — as x increases, y increases. That’s a positive correlation.
Real-life situation: How many hours you study vs. your quiz score. More studying usually leads to higher scores.
→ a. Positive correlation
→ b. Example: Amount of practice vs. performance in sports
---
Question 4:
We need to make a scatter plot using the table data.
Let’s pick:
- X-axis: Homeowners (regular residents)
- Y-axis: Vacation homeowners
Plot these pairs:
(2090, 973) → 1997–98
(1987, 967) → 1996–97
(1948, 1041) → 1995–96
(1897, 1043) → 1994–95
(1962, 1125) → 1993–94
(1852, 1126) → 1992–93
Now look at the trend: As regular homeowners decrease slightly over time, vacation homeowners increase. But if we plot homeowners (x) vs vacation homeowners (y), when x is high (like 2090), y is low (973). When x is low (like 1852), y is high (1126). So it looks like a negative trend.
Draw a line that slopes downward from left to right — that’s the trend line.
You can sketch this on graph paper with x from ~1800 to 2100 and y from ~950 to 1150.
---
Question 5:
Look at the points. They form a straight vertical line? Wait — actually, they’re stacked vertically at x=0? Let me check coordinates.
From the grid: Points seem to be at:
(-1, 10), (-1, 12), (-1, 14), (-1, 16)? Wait — looking again...
Actually, plotting carefully:
It seems points are at:
x = -1: y = 10, 12, 14, 16? Or maybe not.
Wait — let's read the grid properly.
Assuming origin O is (0,0).
Looking at Question 5 graph:
Points appear to be:
At x = -1: y = 10, 12, 14, 16? Actually, looking at labels — y-axis has 10, 12, 14, 16 marked.
But also point at (0, 10)? And maybe (1, 10)?
Actually, re-examining — perhaps better to list approximate coordinates:
Let’s assume:
Point A: (-1, 16)
Point B: (-1, 14)
Point C: (-1, 12)
Point D: (-1, 10)
Point E: (0, 10)
Point F: (1, 10)
This does NOT follow a linear pattern — because for same x=-1, multiple y values. Also, then jumps to (0,10) and (1,10). Not a function, definitely not linear.
So — does NOT follow a linear pattern.
No equation needed.
---
Question 6:
Grid shows points roughly at:
(-3, 6), (-2, 4), (-1, 2), (0, 0), (1, -2), (2, -4), (3, -6)
Check slope between first two: from (-3,6) to (-2,4): rise = -2, run = +1 → slope = -2
Next: (-2,4) to (-1,2): same → slope = -2
Then (-1,2) to (0,0): slope = -2
All consistent! So yes, linear.
Equation: y = mx + b
m = -2
Use point (0,0): y = -2x + 0 → y = -2x
Check another point: x=3 → y=-6 ✔️
→ Yes, linear. Equation: y = -2x
---
Question 7:
Points seem to be:
(-6, 2), (-5, 4), (-4, 6), (-3, 8), (-2, 10), (-1, 12), (0, 14), (1, 16), (2, 18)
Check slope:
From (-6,2) to (-5,4): rise=+2, run=+1 → slope=2
Same for next: (-5,4) to (-4,6): slope=2
Continues consistently.
So linear.
Equation: y = mx + b
m = 2
Use point (0,14): y = 2x + 14
Check: x=-6 → y=2*(-6)+14 = -12+14=2 ✔️
x=2 → y=4+14=18 ✔️
→ Yes, linear. Equation: y = 2x + 14
---
Final Answers:
1a. Negative correlation
1b. Example: Hours spent watching TV vs. test scores
2a. No correlation
2b. Example: Shoe size vs. favorite color
3a. Positive correlation
3b. Example: Study time vs. quiz score
4. Scatter plot drawn with negative trend; trend line sloping downward
5. Does NOT follow linear pattern
6. Follows linear pattern; equation: y = -2x
7. Follows linear pattern; equation: y = 2x + 14
──────────────────────────────────────
Final Answer:
1a. Negative correlation
1b. Example: More TV time → lower test scores
2a. No correlation
2b. Example: Shoe size and favorite color have no relationship
3a. Positive correlation
3b. Example: More study time → higher quiz scores
4. Plot points: (2090,973), (1987,967), (1948,1041), (1897,1043), (1962,1125), (1852,1126); draw downward-sloping trend line
5. Not linear
6. Linear; y = -2x
7. Linear; y = 2x + 14
Parent Tip: Review the logic above to help your child master the concept of scatter plot worksheet.