Decline in Chrysler Sales Chrysler Essay

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The trend line drawn is uses the least square regression technique to determine if there is a good fit.

Figure 2; Chrysler sales against U.S. car manufacture

The graph with the trend line appears to indicate a good fit, where it appears that there is a relationship between the numbers of cars sold and the numbers of car manufactured in the U.S. The regression analysis gives an R2 result of 0.9535, indicating a very close correlation. To assess the results an ANOVA with a 95% level of significance may also be performed, which gives a significant f at 1.11, which supports the result that indicates that there is a positive correlation.

2.2

Chrysler Sales and Gas Prices

Figure 2 uses the same approach, with a scatter chart draw with a trend line to assess if there is any correlation between the two data sets. The gas price, which is given in cents per mile, appears to have an inverse correlation seen with the downward sloping trend line.

Figure 3; Chrysler sales against gas prices

The data points are more spread out away from the trend line compared to the patterns seen in figure 1.

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The R2 statistic is 0.61, which indicates that there is a looser correlation. However, the significant f is 0.001. This means that although there appears to be a relationship it is not sufficiently strong to be determined that it may be a clear predictor, but it is useful.

2.3

Chrysler Car Sales and Unemployment

The same analysis process is conducted as seen with the first two independent variables, with car sales plotted against the unemployment rate.

Figure 4; Chrysler cars sales against unemployment rate

The R2 statistic is 0.9372, indicating a very good.....

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