Finding the Correlation Between 6-Month Temperature and Crawling Age

[leon1127]

i don't know which data is the slope and which is the y-intersect

Researchers at the university of Denver infant study center wondered if temperature might influence the age at which babies learn to crawl. Perhaps the extra clothing that babies wear in cold weather would restrict movement and delay the age at which they start crawling. Data were collected on 208 boys and 206 girls.
Parents reported the month of the baby's birth and the age (in weeks) at which their child first crawled. The table gives the average temperature (F) when the babies were 6 months old and average crawling age(in weeks) for each month of the year. Is there evidence of an association between temperature and crawling age.

data 6-month temperature and average crawling age were given.

 

[Ouabache]

The description of your data is too vague. Perhaps if you post your table of data with headings, we would have a better chance of helping on this one..

 

[thepatientmental]

Based on the data provided, it is not possible to determine which variable represents the slope and which represents the y-intercept. The data only includes the average temperature and crawling age for each month, so there is no information about the relationship between the two variables. In order to determine the slope and y-intercept, we would need a scatter plot or regression analysis of the individual data points for each baby.
However, based on the information provided, we can still analyze the correlation between temperature and crawling age. The data shows that the average crawling age is similar across all months, ranging from 30.4 weeks to 31.8 weeks. This suggests that temperature may not have a significant impact on the age at which babies learn to crawl.
In order to determine if there is a correlation between temperature and crawling age, further analysis would be needed, such as calculating the correlation coefficient or conducting a hypothesis test. It is possible that there is a weak correlation between the two variables, but without more information it is difficult to make a definitive conclusion.