Thanks everyone for your help on this. The comments on the accuracy of the coefficients are very valid and something I will take on board once I have worked out how to do the problem in hand.
If I were to use LINEST or LOGEST how would I utilise the formula to get the gradient for a six order poly - as far as I can see they can only two a x^2 curve? I have a spreadsheet that I would like to share with you all to see where I have got to, however I can't find a way to upload this to the thread.
To be clear, I am interested in the gradient of the whole line and not at specific point on the line (I have included these numbers anyway in case it assists with the calculation).
This table are the coefficients of the trendline (these do match the trendline that excel produces when a 6 ord poly is selected) that have been calculated from the x,y coordinates
[TABLE="class: grid, width: 1000, align: center"]
<tbody>[TR]
[TD]Line Equation Coefficients[/TD]
[TD]a[/TD]
[TD]b[/TD]
[TD]cc[/TD]
[TD]d[/TD]
[TD]e[/TD]
[TD]f[/TD]
[TD]g[/TD]
[/TR]
[TR]
[TD]y=[a]x^6+x^5+[cc]x^4+[d]x^3+[e]x^2+[f]x+[g][/TD]
[TD]2.E-05[/TD]
[TD]-0.000725[/TD]
[TD]0.014260[/TD]
[TD]-0.226488[/TD]
[TD]2.056124[/TD]
[TD]-8.606512[/TD]
[TD]75.164801[/TD]
[/TR]
</tbody>[/TABLE]
This table is the Raw Data (plus the line of best fit equation figure and the respective slope at the point)
[TABLE="width: 500"]
<tbody>[TR]
[TD]X Axis[/TD]
[TD]Y Axis[/TD]
[TD]Equation[/TD]
[TD]Slope at point[/TD]
[/TR]
[TR]
[TD]1[/TD]
[TD][TABLE="width: 184"]
<tbody>[TR]
[TD="width: 184"]68.48692793[/TD]
[/TR]
</tbody>[/TABLE]
[/TD]
[TD][TABLE="width: 125"]
<tbody>[TR]
[TD="class: xl65, width: 125"]68.40[/TD]
[/TR]
</tbody>[/TABLE]
[/TD]
[TD]-5.12017502138305[/TD]
[/TR]
[TR]
[TD]2[/TD]
[TD][TABLE="width: 184"]
<tbody>[TR]
[TD="width: 184"]64.30623931[/TD]
[/TR]
</tbody>[/TABLE]
[/TD]
[TD][TABLE="width: 125"]
<tbody>[TR]
[TD="class: xl65, width: 125"]64.57[/TD]
[/TR]
</tbody>[/TABLE]
[/TD]
[TD][TABLE="width: 165"]
<tbody>[TR]
[TD="class: xl66, width: 165, align: right"]-2.69712153585393[/TD]
[/TR]
</tbody>[/TABLE]
[/TD]
[/TR]
[TR]
[TD]3[/TD]
[TD][TABLE="width: 184"]
<tbody>[TR]
[TD="width: 184"]62.73016414[/TD]
[/TR]
</tbody>[/TABLE]
[/TD]
[TD][TABLE="width: 125"]
<tbody>[TR]
[TD="class: xl65, width: 125"]62.73[/TD]
[/TR]
</tbody>[/TABLE]
[/TD]
[TD][TABLE="width: 165"]
<tbody>[TR]
[TD="class: xl66, width: 165, align: right"]-1.10488484685025[/TD]
[/TR]
</tbody>[/TABLE]
[/TD]
[/TR]
[TR]
[TD]4[/TD]
[TD][TABLE="width: 184"]
<tbody>[TR]
[TD="width: 184"]62.82180783[/TD]
[/TR]
</tbody>[/TABLE]
[/TD]
[TD][TABLE="width: 125"]
<tbody>[TR]
[TD="class: xl65, width: 125"]62.14[/TD]
[/TR]
</tbody>[/TABLE]
[/TD]
[TD][TABLE="width: 165"]
<tbody>[TR]
[TD="class: xl66, width: 165, align: right"]-0.16488455749730[/TD]
[/TR]
</tbody>[/TABLE]
[/TD]
[/TR]
[TR]
[TD]5[/TD]
[TD][TABLE="width: 184"]
<tbody>[TR]
[TD="width: 184"]61.92702315[/TD]
[/TR]
</tbody>[/TABLE]
[/TD]
[TD][TABLE="width: 125"]
<tbody>[TR]
[TD="class: xl65, width: 125"]62.23[/TD]
[/TR]
</tbody>[/TABLE]
[/TD]
[TD][TABLE="width: 165"]
<tbody>[TR]
[TD="class: xl66, width: 165, align: right"]0.26410980605998[/TD]
[/TR]
</tbody>[/TABLE]
[/TD]
[/TR]
[TR]
[TD]6[/TD]
[TD][TABLE="width: 184"]
<tbody>[TR]
[TD="width: 184"]61.83759786[/TD]
[/TR]
</tbody>[/TABLE]
[/TD]
[TD][TABLE="width: 125"]
<tbody>[TR]
[TD="class: xl65, width: 125"]62.54[/TD]
[/TR]
</tbody>[/TABLE]
[/TD]
[TD][TABLE="width: 165"]
<tbody>[TR]
[TD="class: xl66, width: 165, align: right"]0.30251542103434[/TD]
[/TR]
</tbody>[/TABLE]
[/TD]
[/TR]
[TR]
[TD]7[/TD]
[TD][TABLE="width: 184"]
<tbody>[TR]
[TD="width: 184"]62.688179[/TD]
[/TR]
</tbody>[/TABLE]
[/TD]
[TD][TABLE="width: 125"]
<tbody>[TR]
[TD="class: xl65, width: 125"]62.74[/TD]
[/TR]
</tbody>[/TABLE]
[/TD]
[TD][TABLE="width: 165"]
<tbody>[TR]
[TD="class: xl66, width: 165, align: right"]0.06647279437361[/TD]
[/TR]
</tbody>[/TABLE]
[/TD]
[/TR]
[TR]
[TD]8[/TD]
[TD][TABLE="width: 184"]
<tbody>[TR]
[TD="width: 184"]64.12595884[/TD]
[/TR]
</tbody>[/TABLE]
[/TD]
[TD][TABLE="width: 125"]
<tbody>[TR]
[TD="class: xl65, width: 125"]62.63[/TD]
[/TR]
</tbody>[/TABLE]
[/TD]
[TD][TABLE="width: 165"]
<tbody>[TR]
[TD="class: xl66, width: 165, align: right"]-0.31561761086201[/TD]
[/TR]
</tbody>[/TABLE]
[/TD]
[/TR]
[TR]
[TD]9[/TD]
[TD][TABLE="width: 184"]
<tbody>[TR]
[TD="width: 184"]61.16592851[/TD]
[/TR]
</tbody>[/TABLE]
[/TD]
[TD][TABLE="width: 125"]
<tbody>[TR]
[TD="class: xl65, width: 125"]62.12[/TD]
[/TR]
</tbody>[/TABLE]
[/TD]
[TD][TABLE="width: 165"]
<tbody>[TR]
[TD="class: xl66, width: 165, align: right"]-0.68655874912258[/TD]
[/TR]
</tbody>[/TABLE]
[/TD]
[/TR]
[TR]
[TD]10[/TD]
[TD][TABLE="width: 184"]
<tbody>[TR]
[TD="width: 184"]60.94477071[/TD]
[/TR]
</tbody>[/TABLE]
[/TD]
[TD][TABLE="width: 125"]
<tbody>[TR]
[TD="class: xl65, width: 125"]61.32[/TD]
[/TR]
</tbody>[/TABLE]
[/TD]
[TD][TABLE="width: 165"]
<tbody>[TR]
[TD="class: xl66, width: 165, align: right"]-0.84382036599111[/TD]
[/TR]
</tbody>[/TABLE]
[/TD]
[/TR]
[TR]
[TD]11[/TD]
[TD][TABLE="width: 184"]
<tbody>[TR]
[TD="width: 184"]61.1231282[/TD]
[/TR]
</tbody>[/TABLE]
[/TD]
[TD][TABLE="width: 125"]
<tbody>[TR]
[TD="class: xl65, width: 125"]60.59[/TD]
[/TR]
</tbody>[/TABLE]
[/TD]
[TD][TABLE="width: 165"]
<tbody>[TR]
[TD="class: xl66, width: 165, align: right"]-0.52300237180615[/TD]
[/TR]
</tbody>[/TABLE]
[/TD]
[/TR]
[TR]
[TD]12[/TD]
[TD][TABLE="width: 184"]
<tbody>[TR]
[TD="width: 184"]60.41032497[/TD]
[/TR]
</tbody>[/TABLE]
[/TD]
[TD][TABLE="width: 125"]
<tbody>[TR]
[TD="class: xl65, width: 125"]60.55[/TD]
[TD="class: xl65, width: 125, align: right"][/TD]
[/TR]
</tbody>[/TABLE]
[/TD]
[TD][TABLE="width: 165"]
<tbody>[TR]
[TD="class: xl66, width: 165, align: right"]0.61870178471540[/TD]
[/TR]
</tbody>[/TABLE]
[/TD]
[/TR]
</tbody>[/TABLE]