Answer:
The P-value signifies that the likelihood of obtaining a linear correlation coefficient that is as extreme or more extreme is 3.5%, which is considered significant at α=0.05. Thus, we have sufficient evidence to assert that there exists a linear correlation between the weight of automobiles and their highway fuel consumption.
Step-by-step explanation:
The correlation coefficient demonstrates the relationship between the weights and highway fuel consumption values across seven distinct types of automobiles.
The P-value expresses the significance of this connection. If the p-value is beneath a significance level (e.g., 0.05), it indicates that the relationship is indeed significant.
So, Thursday has a 20% probability or 1/5 and Friday shows 40% or 2/5; multiplying them gives 1x2=2 and 5x5=25, resulting in a 2/25 chance, equivalent to an 8% likelihood.
The same device is used to measure safetrack in the same manner.
Beth travelled the remaining distance with an average speed of 52 mph
Solution:
Given, Beth drives 200 miles in 4 hours.
The equation for distance speed is expressed as:
--- eqn 1
Calculating time spent for 18 miles:
She completes the initial 18 miles at an average speed of 36 mph.
Distance here equals 18 miles
speed equals 36 mph
Substituting values into eqn 1 yields,
Determining average speed for the remaining journey:
The distance left to cover is = 200 miles – 18 miles = 182 miles
The time spent on the remaining trip equals the total time minus the duration for the first 18 miles
Inserting values into eqn 1 gives us
This confirms that the average speed for the rest of the journey is 52 mph
If an odd number is required, it is more likely to be 29 times rather than 28
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